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1、SPECIALTY PRACTICES 2022 Europe and US Data,Analytics,and Artificial Intelligence Executive Organization and Compensation Survey ContentsA message from the authors 3Respondent locations and company information 4What titles do data,analytics,and AI leaders have,5and what are their backgrounds?What da
2、ta,analytics,and artificial intelligence 9executives do all dayBoard experience and next steps 15Data,analytics,and artificial intelligence compensation 17Europe 18 United States 21Equity/LTI format 25Sign-on bonus 262022 EUROPE AND US DATA,ANALYTICS,AND ARTIFICIAL INTELLIGENCE EXECUTIVE ORGANIZATIO
3、N AND COMPENSATION SURVEY2 A message from the authorsWelcome to our second annual Europe and US Data,Analytics,and Artificial Intelligence Executive Organization and Compensation Survey,which examines both organizational structure and compensation for executive roles with artificial intelligence and
4、/or data analytics responsibilities.For this report,Heidrick&Struggles compiled compensation data from a survey fielded in Fall 2022 of 120 executives in Europe and the United States.We hope you enjoy reading the survey.As always,suggestions are welcome,so please feel free to contact usor your H
5、eidrick&Struggles representativewith questions and comments.With warmest regards,On confidentialityThe Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,was conducted on an anonymous basis for individuals and their employers,and Heidrick
6、&Struggles has removed the data relating to identity from reported compensation figures.Ryan BulkoskiPartner and global leaderData,Analytics&Artificial Intelligence P Kristin van der SandePartnerTechnology&Services P AcknowledgmentsThe authors wish to thank all those who participated in
7、this survey.MethodologyThis report is the result of an online survey conducted in Fall 2022.Responses from 120 participants are included in the survey results.Diverse region,inclusive workforces:Diversity and inclusion policy and practice in Asia PacificHEIDRICK&STRUGGLES3 Respondent locations a
8、nd company informationThe executives who responded to the survey came predominantly from the United States.Several Western European countries were also well represented,particularly the United Kingdom.The respondents work across a range of industries,and more than half were at companies with an annu
9、al revenue of$5 billion or more.Which of the following industries is your company in?Executive location(%)Company background(global)(%)What is your companys most recent annual revenue?Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,
10、n=120Note:Numbers may not sum to 100%,due to rounding.Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=120United StatesUnited KingdomOther EuropeOther57352911212468418234715415362631417117Pre-revenue$251 million$500 million$50 mill
11、ion or less$501 million$1 billion$51 million$100 million$1 billion$5 billion$101 million$250 million$5 billion$20 billion$20 billion$50 billionMore than$50 billionFinancial servicesConsumer,retail,mediaTechnology,SaaS,cloud Healthcare,biotech,life sciencesFintechIndustrial,manufacturing,energyBusine
12、ss or professional servicesEducation or not-for-profit TelecommunicationsPublic sectorOtherSource:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=120Dont know/prefer not to answer2022 EUROPE AND US DATA,ANALYTICS,AND ARTIFICIAL INTELLIGE
13、NCE EXECUTIVE ORGANIZATION AND COMPENSATION SURVEY4 00What titles do data,analytics,and AI leaders have,and what are their backgrounds?Note:Numbers may not sum to 100%,due to rounding.Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,
14、n=120Roles(%)GlobalUnited StatesEuropeChief data and analytics officerSenior data and analytics leaderOther senior role with focus on data or analyticsSenior AI,machine learning,or data architectureOther C-level with focus on data or analyticsChief data scientist officer/data science leaderSenior da
15、ta governance,privacy,or protection312637272537192115111576542805Diverse region,inclusive workforces:Diversity and inclusion policy and practice in Asia PacificHEIDRICK&STRUGGLES5 Data,analytics,and artificial intelligence(AI)responsibilities are led by people in roles that include chief data an
16、d analytics officer and senior data and analytics leader.Note:Numbers may not sum to 100%,due to rounding.Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022 European executives are more likely to report directly to the CEO:30%of execut
17、ives in Europe do so versus only 20%in the United States.This higher share is likely due to the higher share of Europeans who have more senior titles.Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=64Source:Europe and US data,anal
18、ytics,and artificial intelligence executive organization and compensation survey,2022,n=44Executive background(%)Do you have another C-level or vice president title?(%)Direct report to the CEO30One level below the CEOs direct reports482036Two levels below201125Three or four levels below009OtherSenio
19、rity(United States)Number of respondents=64Seniority(Europe)Number of respondents=44United StatesIf yes,what is the function of your additional title?(select all that apply)(%)EuropeIf yes,what is the function of your additional title?(select all that apply)(%)5960182420121820121835Digital/technolog
20、yDigital/technologyITOperationsSales/go to marketMarketing and customer engagementFinanceITSales/go to marketStrategyOtherYesYesNoNo271173892022 EUROPE AND US DATA,ANALYTICS,AND ARTIFICIAL INTELLIGENCE EXECUTIVE ORGANIZATION AND COMPENSATION SURVEY6 Source:Europe and US data,analytics,and artificial
21、 intelligence executive organization and compensation survey,2022Which sectors have you ever worked in?Executive background(%),continuedIn terms of sectors,data,analytics,and artificial intelligence leaders most often had experience in financial services and consumer,retail,and media(the same indust
22、ries they most often work in today).These sectors were the top two in both Europe and the United States.Financial servicesAcademia4894914Consumer,retail,mediaBusiness or professional servicesIndustrial,manufacturing,energy402091949114351717381624Technology,SaaS,cloudPublic sectorTelecommunications27
23、314231912332122227519Healthcare,biotech,life sciencesOtherFintech26171422228ConsultingGlobalNumber of respondents=120United StatesNumber of respondents=64EuropeNumber of respondents=44Diverse region,inclusive workforces:Diversity and inclusion policy and practice in Asia PacificHEIDRICK&STRUGGLE
24、S7 Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=64Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=64Note:Numbers may not sum to 100%,due to rounding.Source:E
25、urope and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=120Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=44Gender81%Men17%Women2%Prefer not to answer97%Men3%WomenRace/ethnici
26、ty(United States only)Global(%)Executive background,by gender56%White31%Asian or Asian American2%Arab,Arab American,Middle Eastern2%Black or African American2%Hispanic/Latino2%Mixed race0%Native American or Alaska Native0%Native Hawaiian or Pacific Islander7%Prefer not to answer2%OtherUnited StatesE
27、urope2022 EUROPE AND US DATA,ANALYTICS,AND ARTIFICIAL INTELLIGENCE EXECUTIVE ORGANIZATION AND COMPENSATION SURVEY8 The data,analytics,and artificial intelligence function is historically one that has been lacking in diversity,though we have observed a number of initiatives to introduce greater diver
28、sity in terms of gender,race and ethnicity,and sexual orientation.While the share of women in these roles is low everywhere,their share in the United States was almost six times that in Europe.Most respondents to this survey were men.In the United States,56%of respondents were white and 31%were Asia
29、n or Asian American.Role tenureWomenMenLess than 1 year182412 years273034 years45345 or more years911SeniorityWomenMenDirect report to the CEO928One level below the CEOs direct reports5539Two or more levels below3634What data,analytics,and artificial intelligence executives do all day A quarter of t
30、he executives we surveyed had been in their role for less than one year,and only 10%have been in their role for five or more years;more than three-quarters of respondents are in a role that has existed at their company for less than five years.This is more or less consistent between Europe and the U
31、nited States.We suggested in last years report that short tenures could suggest a few different scenarios,such as a high level of turnover or a change in strategic priorities resulting in demand for a first-time executive leader responsible for the function,moving the responsibility from a manager o
32、r director.However,the share of respondents at a role that has existed for three to four years increased from 32%in 2021 to 43%in 2022.This suggests that we are seeing the function mature;while tenures remain steady,there is still movement within the market.In terms of overall competition for data,a
33、nalytics,and AI executives,even with current hiring freezes at many technology companies,we have not,so far,seen a slowdown for people in engineering functions.However,looking ahead,we do expect the responses to next years survey in terms of tenure and compensation could look somewhat different.Note
34、:Numbers may not sum to 100%,due to rounding.Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=120;Europe and US artificial intelligence and data analytics executive organization and compensation survey,2021,n=179Source:Europe and U
35、S data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=64 Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=44Time in current role(%)Time in current role(%)How long has current role existe
36、d at your organization?(%)How long has current role existed at your organization?(%)Current role background20222021Less than 6 monthsLess than 6 months6 months to 1 year6 months to 1 year12 years12 years34 years34 years5 or more years5 or more years121091765681317126101475303629221720291434293144433
37、93249108181124222624United StatesEuropeDiverse region,inclusive workforces:Diversity and inclusion policy and practice in Asia PacificHEIDRICK&STRUGGLES9 Role remit(%)Note:Numbers may not sum to 100%,due to rounding.Source:Europe and US data,analytics,and artificial intelligence executive organi
38、zation and compensation survey,2022Number of respondents=120Number of respondents=64Number of respondents=44Global7186National124761733Across an entire function(e.g.,marketing,operations,or R&D)44535Across an entire business unit33OtherGlobalUnited StatesEurope2022 EUROPE AND US DATA,ANALYTICS,A
39、ND ARTIFICIAL INTELLIGENCE EXECUTIVE ORGANIZATION AND COMPENSATION SURVEY10 The majority of data,analytics,and AI executives who responded to this survey have a global role.However,European executives are more often in a global role:86%,compared with 71%of executives in the United States.This higher
40、 share is likely due to the regional need for cross-border experience as well as the higher share of Europeans who have more senior titles.Executives in data,analytics,and artificial intelligence roles said that they work most often with the marketing and customer engagement functions,followed by sa
41、les/go to market and strategy.In Europe,a notably higher share said one of the functions they spend the most time working with is IT.Globally,78%of executives said they consider the marketing and customer engagement function a stakeholder,though this varied by region:83%of US executives said so and
42、69%in Europe.However,the fact that at least a third of all executives reported that they consider each of the functions as stakeholders shows the broad responsibilities of these data,analytics,and artificial intelligence roles.United States(%)United States(%)Europe(%)Europe(%)Which functions do you
43、and your team spend the most time working with?Collaboration with other functionsWhich functions do you consider stakeholders?Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022Number of respondents=64Number of respondents=64Source:Euro
44、pe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022Number of respondents=44Number of respondents=445183496914643580041783075125332692475147810535642273146424134842542Marketing and customer engagementMarketing and customer engagementFinanceStrategy
45、Sales/go to marketSales/go to marketITITStrategyFinanceSupply chainLegal/compliance/riskOperationsOperationsLegal/compliance/riskHRHRSupply chainOtherOther14122419Diverse region,inclusive workforces:Diversity and inclusion policy and practice in Asia PacificHEIDRICK&STRUGGLES11 A quarter of all
46、the data,analytics,and AI executives surveyed report to the CEO.Another 24%report to the COO,chief administration officer,or CIO.However,there are notable variations between regions:in the United States,20%of executives report to the CEO,while 35%of their European peers say the same.In the United St
47、ates,the next most common reporting line for these executives is to the CIO;in Europe,its the chief digital officera title only 5%of US executives report to.An average of four areas report to these leaders in Europe,and an average of six in the United States.The chief data officer/head of data analy
48、tics is a new reporting line this year,and it speaks to the notion that the data function is maturing and becoming broader:these leaders are building out their teams.Note:Numbers may not sum to 100%,due to rounding.Source:Europe and US data,analytics,and artificial intelligence executive organizatio
49、n and compensation survey,2022Number of respondents=120Number of respondents=64Number of respondents=44To whom do you report?Reporting lines(%)CEOOther20243516COO or chief administrative officerChief data officer or head of data analytics1287252110551111CIOCFO12483175514CTO or senior engineering exe
50、cutiveCMO85800Chief digital officerGlobalUnited StatesEurope2022 EUROPE AND US DATA,ANALYTICS,AND ARTIFICIAL INTELLIGENCE EXECUTIVE ORGANIZATION AND COMPENSATION SURVEY12 Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022Number of resp
51、ondents=120Number of respondents=64Number of respondents=44Which functional areas report to you?Reporting lines(%),continuedData scienceData platformOther8053127030322422Machine learningArtificial intelligence70605875441576636362545446Business intelligence/analyticsA function responsible for engagin
52、g the rest of the business with data useData warehousing6858446053237658515754Data engineeringData architectureData privacy76582435Data governanceGlobalUnited StatesEuropeDiverse region,inclusive workforces:Diversity and inclusion policy and practice in Asia PacificHEIDRICK&STRUGGLES13 In terms
53、of who reports to them,three-quarters of respondents said that the data science function reports to them,followed by machine learning(70%)and business intelligence/analytics(68%).In the United States,80%of executives manage the data science function,while 76%said they manage the data engineering,mac
54、hine learning,and/or business intelligence/analytics functions.In Europe,70%of respondents said the data science function reports to them;62%said the machine learning function reports to them;and 57%said the business intelligence/analytics function reports to them.United States(%)Europe(%)Team sizeS
55、ource:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022Number of respondents=64Number of respondents=4419812221127438512330More than 20026501012000257610051752022 EUROPE AND US DATA,ANALYTICS,AND ARTIFICIAL INTELLIGENCE EXECUTIVE ORGANIZATIO
56、N AND COMPENSATION SURVEY14 There is a wide range of team sizes,with executives most often reporting teams of 25 or fewer.Teams in Europe tend to be smaller.Do you currently sit on a board?Board experience(%)GlobalUnited StatesEuropeAdvisoryCorporateBothNeitherPrefer not to answer3228394754391071147
57、7411Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=120Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=64Source:Europe and US data,analytics,and artificial inte
58、lligence executive organization and compensation survey,2022,n=44Diverse region,inclusive workforces:Diversity and inclusion policy and practice in Asia PacificHEIDRICK&STRUGGLES15 Board experience and next stepsForty-three percent of data,analytics,and AI executives sit on a corporate and/or ad
59、visory boardhowever,the majority of those sit on advisory boards.Only 11%of US executives sit on a corporate board,which is the same share of Europeans.In the United States,however,the majority of executives(54%)sit on no board at all,while half of European executives sit at least on an advisory boa
60、rd.2 For more on how aspiring directors can find the right corporate board,see Bonnie Gwin,“So you want to join a board,”Heidrick&Struggles,.Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022Number of respondents=64Number of respon
61、dents=44What is your ideal next role?(select two)Next steps(%)Chief data officer4554Chief digital officerCOO25131530161611Board memberCIO249223CTOOther 201514CEOUnited StatesEurope2022 EUROPE AND US DATA,ANALYTICS,AND ARTIFICIAL INTELLIGENCE EXECUTIVE ORGANIZATION AND COMPENSATION SURVEY16 Generally
62、,the executives surveyed most often said their ideal next title is chief data officer,followed by chief digital officer,with little variation between regions.Notably,15%of US executives said that their ideal next role is CEO,while only 3%of European executives said the same.The regional differences
63、could be due to differences in the way these functions are understood within the organization(as primarily business or primarily technology)as well as differences in the industries within which their companies operate.For those aspiring to the CEO role,Heidrick&Struggles Route to the Top 2022 re
64、port shows that this past year saw the highest share(69%)of first-time CEOs in three years.There was also a shift toward appointing CEOs who already worked at the company.1 But these candidates will need to be prepared for a role that is only becoming more complex and demanding.Meanwhile,nearly a qu
65、arter of executives say they would like to become a board member.And there is 1 Route to the Top 2022,Heidrick&Struggles,.good news for those executives because now,more than ever,corporate boards are focused on finding new members with a wide range of experiences.And the right board fit is as e
66、nriching for the director as it is valuable for the company.With thoughtful dedication and preparation,executives can avoid errors such as joining the board of an organization whose core purpose they dont share.Networking,in particular,is key for those seeking a board seat,and experience on an advis
67、ory board is an excellent place to start.2Diverse region,inclusive workforces:Diversity and inclusion policy and practice in Asia PacificHEIDRICK&STRUGGLES17 Data,analytics,and artificial intelligence compensationReported median total cash compensation for data,analytics,and artificial intellige
68、nce roles in Europe was$413,000 in 2021,up from$409,000 the previous year.In the United States,it was$526,000 in 2021,slightly down from$546,000 the previous year.In 2021,median total compensation,including any annualized equity grants,was$676,000 in Europe,up from$616,000,and$901,000 in the United
69、States,down from$941,000.This year,we also looked at the highest-earning data,analytics,and AI executives.The 95th percentile of total compensation was$1,626,000 in Europe and$2,723,000 in the United States.In the United States,we noted an increase of nearly$100,000 in total compensation for the wom
70、en surveyed;their 2021 total cash compensation jumped to$564,000,while their male colleagues saw their compensation decrease slightly,from$565,000 in 2020 to$526,000 in 2021.While this could be reflective simply of the executives who responded to this survey,it could also be reflective of the fact t
71、hat,anecdotally,we are seeing a premium paid for diverse talent.This year,we looked at compensation by executives tenure as well and found that newer hires are seeing higher compensation.Those in their role for five or more years reported compensation at least$200,000 less than those in their roles
72、for both three to four years and two years or less.The industry with the highest compensation in Europe was by far financial services:the median total compensation was$961,000.The second highest paid industry in Europe was“other”(which could include business services,nonprofits,education,and public-
73、sector work),the median total compensation for which was$569,000.In the United States,the industry with the highest median total compensation was healthcare and life sciences,at$1,576,000.The increase in compensation for those in healthcare and life sciences in the United States in particularly nota
74、ble.Last years median total compensation for those in the industry was$958,000.Salaries overall are generally lower in Europe.An impressive 78%of US executives reported receiving some form of sign-on or joining bonus,while 38%of those in Europe said the same.(See pages 26 and 27 for full sign-on equ
75、ity data.)As European companies continue to seek global talent,especially from the United States,greater consideration needs to be given to granting equity as part of the overall compensation package.EuropeNote:Numbers may not sum to overall sample size,as some respondents chose not to answer all qu
76、estions.Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=44 2022 EUROPE AND US DATA,ANALYTICS,AND ARTIFICIAL INTELLIGENCE EXECUTIVE ORGANIZATION AND COMPENSATION SURVEY18 Compensation sample sizes:EuropeEuropeOverall44SeniorityDire
77、ct report to the CEO13One level below the CEOs direct reports16Two or more levels below15Role experienceLess than 1 year812 years834 years165 or more years4Team size0502751 or more10IndustryFinancial services or fintech12Technology or telecommunications7Healthcare,biotech,life sciences5Consumer,reta
78、il,media10Other10Firm revenueLess than$1bn8$1bn$5bn4$5bn$20bn14$20bn$50bn4More than$50bn3GenderWomen1Men38Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=44 Diverse region,inclusive workforces:Diversity and inclusion policy and pr
79、actice in Asia PacificHEIDRICK&STRUGGLES19 Europe compensation,2021(USD,thousands)Base413576351551263288351413301301319307438438288382388382432564Bonus2021 total cash compensationSeniorityIndustryRole tenureTeam sizeCountryCompany revenue7527675257753637518875244752137527675363752387533875338752
80、137575757575757575413201188307276226363401OverallFinancial servicesTwo or more levels belowTechnology12 yearsHealthcare&life sciencesLess than 1 year5 or more yearsConsumer050Other51 or moreLess than$5bn$5bn$20bnUnited KingdomOther EuropeMore than$20bn34 yearsDirect report to CEOOne level belowS
81、ource:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=44 2022 EUROPE AND US DATA,ANALYTICS,AND ARTIFICIAL INTELLIGENCE EXECUTIVE ORGANIZATION AND COMPENSATION SURVEY20 Europe compensation,2021(USD,thousands),continuedBaseBonusTotal cash
82、compensationAnnual equity/LTITotal compensation25th Median75th 95th25th Median75th95th 25th Median75th95th 25th Median75th95th 25th Median75th95th Overall213276413738757516341328841360192650100200500338676888 1,626SeniorityDirect report to the CEO2132573945387575238463288351776926501255002,000338670
83、1,301 2,926One level below27636361391375751884133515516881,3261002002003005517018881,626Two or more levels below16318836343875757516323826343860140100300360258463713961Role experienceLess than 1 year21327636391375751634132883515261,326882002753004106381,401 1,62612 years16924441341375751883882443196
84、01801601001005003285207011,30134 years2293634577387575163463351438688926502003002,0004887139612,9265 or more years16321327627675752762762382885515512060100100258323388388Team size0501882384137387575188413263388601926501002002,0003285518882,92651 or more27633836353875751632383514135267762002503003607
85、13732961976IndustryFinancial services21341361391375751634632885768131,3261002003602,0006769611,626 2,926Technology or telecommunications1632012382767575752762382883135514050100100328338363363Healthcare&life sciences18818827636375751411632443074825262040200200258303726726Consumer16330736341375757
86、518823838243860150100100300338488701738Other21927640153875752263883043886928011001752005003885699761,301Firm revenueLess than$5bn18822627646375757546326330139792640551002,0003033333632,926$5bn$20bn21336341391375751884132884386011,326631253005004137019171,626More than$20bn2764016137387575163163351564
87、6888132002002003605518079611,013CountryUnited Kingdom27633843891375751884633514326881,3262003003602,0005518881,301 2,926Other Europe18821336353875757523824430156477650100100200328376701976United StatesCompensation sample sizes:United StatesUnited StatesOverall64SeniorityDirect report to the CEO13One
88、 level below the CEOs direct reports31Two or more levels below20Role experienceLess than 1 year1612 years2134 years175 or more years5Team size0502351 or more36IndustryFinancial services or fintech23Industrial,manufacturing,energy6Technology or telecommunications17Healthcare,biotech,life sciences10Co
89、nsumer,retail,media14Other13Firm revenueLess than$1bn10$1bn$5bn10$5bn$20bn12$20bn$50bn9More than$50bn14GenderWomen9Men44Note:Numbers may not sum to overall sample size,as some respondents chose not to answer all questions.Source:Europe and US data,analytics,and artificial intelligence executive orga
90、nization and compensation survey,2022,n=64 Diverse region,inclusive workforces:Diversity and inclusion policy and practice in Asia PacificHEIDRICK&STRUGGLES21 Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=64 2022 EUROPE AND
91、US DATA,ANALYTICS,AND ARTIFICIAL INTELLIGENCE EXECUTIVE ORGANIZATION AND COMPENSATION SURVEY22 SeniorityRole tenureTeam sizeGenderOverallTwo or more levels below12 yearsLess than 1 year5 or more years05051 or moreWomenMen34 yearsDirect report to CEOOne level belowFinancial servicesTechnologyHealthca
92、re&life sciencesConsumerOtherLess than$5bn$5bn$20bnMore than$20bnIndustrialUS compensation,2021(USD,thousands)Base526551614551501501539488551451526576626526551351576401551564526Bonus2021 total cash compensation2021 total cash compensationIndustryCompany revenue16333820141316336316332618836375276
93、1633381633387532618836321336316333816316316318818816375163163338338401413388338338363313Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=64 Diverse region,inclusive workforces:Diversity and inclusion policy and practice in Asia Pac
94、ificHEIDRICK&STRUGGLES23 US compensation,2021(USD,thousands),continuedBaseBonusTotal cash compensationAnnual equity/LTITotal compensation25th Median75th 95th25th Median75th95th 25th Median75th95th 25th Median75th95th 25th Median75th95th Overall27633841361375163238838391526626 1,276 160300900 1,8
95、00 6139011,413 2,723SeniorityDirect report to the CEO338413557688752013419134886149081,5262706001,250 1,8009641,3511,738 3,226One level below276363438588751632765883885516641,2762004609752,0006391,1261,676 1,976Two or more levels below276326363513751631882763885015516011001602201,0004767267691,388Ro
96、le experienceLess than 1 year276338413688751632768884014887391,1762003451,280 3,0006011,0011,693 3,73912 years3383634385881631882764884885767141,2763004509251,0008821,2391,535 1,97634 years276338413613751631889133735266171,5261703608002,0006137461,151 3,2265 or more years2012763133137575225276276351
97、5385893370153180308421691769Team size0502383264135137575163276313401576714701605002,0004215801,014 1,57651 or more313363438613751882768884395517391,4762005001,000 1,8007261,2261,693 3,226IndustryFinancial services276338413588751632768383885517511,276702855001,8005337851,413 2,723Industrial3384015135
98、8875163163276463539588864100150160300613748801964Technology or telecommunications313338401588751632768884015017399511008751,280 3,0008011,2511,693 3,739Healthcare&life sciences4134134636131631882769135766268641,5265001,0001,700 3,000 1,1261,5762,723 3,739Consumer338388463688163188276588501576664
99、1,1762002603909007608701,179 1,596Other2763384134631631632388884395516519512003001,000 3,0006268511,951 3,739Firm revenueLess than$5bn23833841368875751882763884516019642706251,250 2,0008641,1381,576 1,738$5bn$20bn338363463463751632134884635516269511003007003,0006138761,251 3,739More than$20bn2763134
100、63613751632768883885268641,4761602205001,7005707691,388 2,723GenderWomen3633633889881632134359135075641,273 1,5261502001,700 2,0006267951,976 3,226Men276338413588751632135883885266269641153008501,8005789321,407 2,723Source:Europe and US data,analytics,and artificial intelligence executive organizati
101、on and compensation survey,2022,n=64 2022 EUROPE AND US DATA,ANALYTICS,AND ARTIFICIAL INTELLIGENCE EXECUTIVE ORGANIZATION AND COMPENSATION SURVEY24 By region,those in the Northeast and on the West Coast report the highest compensation.The median total compensation for both US regions was$1,320,000.U
102、S compensation,2021(USD,thousands),continuedBaseBonusTotal cash compensationAnnual equity/LTITotal compensation25th Median75th 95th25th Median75th95th 25th Median75th95th 25th Median75th95th 25th Median75th95th US regionMid-Atlantic27627631361375751639133513694391,526702005001,7004585606393,226Midwe
103、st2853384075881632132765884395516261,1761001904802,0005397261,126 1,596Mountain West188326463463751321881882634576516512703855005005338421,151 1,151Northeast319363432463751632268213945266201,2602406751,000 3,0008131,3201,723 3,739Southeast363388544588110226266276510589798864100300300300876901964964S
104、outhwest23835146346316316316316340151462662620202020421421421421West Coast313338388988751632768884135019231,4763008001,280 1,8008641,3201,693 2,723Equity/LTI formatEquity/LTI format(%)United StatesEuropeRestricted stock units(RSUs)Performance share units(PSUs)OptionsCombination of RSUs,PSUs,and/or o
105、ptionsOtherSource:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=46Note:Numbers may not sum to 100%,due to rounding.ource:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=254
106、36239391546515Diverse region,inclusive workforces:Diversity and inclusion policy and practice in Asia PacificHEIDRICK&STRUGGLES25 Seventy-two percent of US respondents reported receiving annual equity/LTI,while 57%of European respondents reported the same.YesNo3862Restricted stock units(RSUs)Ver
107、y important31Performance share units(PSUs)Important1407133OptionsSomewhat important140256Combination of RSUs,PSUs,and/or optionsNot at all important6OtherDont know/not applicableSign-on bonus form(%)Importance of equity in compensation package(%)Sign-on bonus Source:Europe and US data,analytics,and
108、artificial intelligence executive organization and compensation survey,2022,n=44 Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=10 Note:Numbers may not sum to 100%,due to rounding.Source:Europe and US data,analytics,and artificia
109、l intelligence executive organization and compensation survey,2022,n=10 Note:Numbers may not sum to 100%,due to rounding.Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=442022 EUROPE AND US DATA,ANALYTICS,AND ARTIFICIAL INTELLIGEN
110、CE EXECUTIVE ORGANIZATION AND COMPENSATION SURVEY26 EuropeMedian sign-on bonus(USD,thousands)In cashIn equityOverall20200SeniorityDirect report to the CEO60115One level below25200Two or more levels below15N/ARole experienceLess than 1 year3020012 years203034 years1002005 or more yearsN/AN/ATeam size
111、0502011551 or more100200IndustryFinancial services or fintech30200Technology or telecommunications2030Healthcare,biotech,life sciences30N/AConsumer,retail,media20N/AOther100200Firm revenueLess than$5bn2030$5bn$20bn20200More than$20bn100N/AGenderWomenN/AN/AMen20200Do you receive a joining or sign-on
112、bonus?(%)YesNo7822Restricted stock units(RSUs)Very important56Combination of RSUs,PSUs,and/or optionsImportant265024OptionsSomewhat important3210134Performance share units(PSUs)Not at all important4OtherDont know/not applicableSign-on bonus form(%)Importance of equity in compensation package(%)Sourc
113、e:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=64 Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=34Source:Europe and US data,analytics,and artificial intelligence
114、executive organization and compensation survey,2022,n=34Note:Numbers may not sum to 100%,due to rounding.Source:Europe and US data,analytics,and artificial intelligence executive organization and compensation survey,2022,n=64Diverse region,inclusive workforces:Diversity and inclusion policy and prac
115、tice in Asia PacificHEIDRICK&STRUGGLES27 United StatesMedian sign-on bonus(USD,thousands)In cashIn equityOverall150500SeniorityDirect report to the CEO200500One level below170500Two or more levels below100100Role experienceLess than 1 year1702,50012 years10050034 years1002005 or more years230360
116、Team size0507510051 or more170550IndustryFinancial services or fintech130500Industrial,manufacturing,energy150100Technology or telecommunications1701,000Healthcare,biotech,life sciences250550Consumer,retail,media2001,500Other175300Firm revenueLess than$5bn100150$5bn$20bn150600More than$20bn200500Gen
117、derWomen300300Men150500Do you receive a joining or sign-on bonus?(%)Copyright 2022 Heidrick&Struggles International,Inc.All rights reserved.Reproduction without permission is prohibited.Trademarks and logos are copyrights of their respective owners.Leaders of Heidrick&Struggles Specialty Pra
118、cticesSpecialty PracticesHeidrick&Struggles Specialty Practices advise our clients on emerging technologies and disruptive innovation.Our search capabilities help the most innovative companies reach their ambitions for growth,scale and brand impact,accelerating their paths to industry disruption
119、.These practices include:Crypto&Digital Assets Cybersecurity Data,Analytics&Artificial Intelligence Health Tech Industrial TechGlobalNorth AmericaEurope and Middle EastAsia PacificSam Burman Global Managing Partner Matt Aiello Cybersecurity Sean Carroll Robotics&Internet of TJosh Clarke
120、Health Tech Ryan BulkoskiData,Analytics&Artificial Intelligence David Richardson Crypto&Digital Assets Alice HurhHealth Tech Phyllis Schneble Health Tech mClare Buxton Crypto&Digital Assets Gordon McCreeIndustrial TKristen van der Sande Data,Analytics&Artificial Intelligence Christop
121、her McCloskey Industrial Tech and Crypto&Digital Assets Max Randria Cybersecurity Guy ShaulCybersecurity and Crypto&Digital AAdam Vaughan Cybersecurity,Crypto&Digital Assets,and Data,Analytics&Artificial IRoman Wecker Industrial Tech Ed ZhengData,Analytics&Artificial Intelligence Suresh Raina Industrial Tech