The 10 Most Innovative Leaders in Data & Analytics, 2025, August 2025

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Asdatascienceandartificialintelligencecontinueto

reshapebusinesspriorities,theabilitytocreate practical,scalablesolutionsismorevaluablethan ever Theprofessionalsrecognizedinthiseditionbringa raremixoftechnicaldepth,cross-industryinsight,anda results-orientedmindset.Theircareersshowthatprogress inAIandanalyticsdoesnotcomefromtrendsortools alone.Itcomesfromaskingtherightquestions,identifying real-worldproblems,andapplyingscience-backedsolutions thatdrivemeasurableresults.

Theseleadersgobeyondconventionalapplications.They combinestrongdomainexpertisewithsystemsthinking, bringingclaritytoareaslikeautomation,diagnostics, predictivemodeling,andadvancedsimulations.Their contributionsdemonstratethatprogresshappenswhen curiositymeetsdiscipline,whenexperimentationleadsto outcomes,andwhencomplexideasaremadeactionable. Theirworkreflectsconsistentinnovationgroundedin practicalexecution.

Inthisspecialedition,The10MostInnovativeLeadersin Data&Analytics,2025,wefeatureindividualswhose workmovesideasintoimpact.Theseleadersdonotfollow ascript.TheywritetheirownplaybooksbyapplyingAIand

datawithintentandprecision.Fromtechnicalinnovationto teamleadership,theircontributionscutacrosssectorsand speaktothepowerofscience,engineering,andproblemsolvingatscale.

Oneofthefeaturedexecutivesbeganhisjourney developingopticalanddigitalcomputingsystems,neural networkmodels,andfibersensorsinadvancedresearch settings.Helaterappliedhisskillsinthetelecomsector, drivinginnovationinsemiconductorlasers,long-haul opticalsystems,andmanagingamultimillion-dollar portfolio.Hisworkexpandedintosatellitecommunication andlarge-scalesimulationmodels,whereheledearly effortstoidentifyrarediseasepatientsusingmachine learning.Today,hecontinuestointegratehisbroad technicalknowledgetodevelopAI-drivenproductsthat makeameasurabledifferenceinhealthcareandbeyond.

Otherfeaturedprofessionalsandorganizationsinthis editionarepushingboundariesinAIapplication,enterprise dataplatforms,andproductdevelopment.Theirstories reflectwhatispossiblewhendeeptechnicalknowledgeis pairedwithastrongsenseofpurpose.Thiscollectionof profilesoffersvaluableinsightsforthosecommittedto buildingmeaningfulprogressthroughdataandAI.

THE FRONT PAGE EXCLUSIVE

Oodaye Shukla Revolutionary Data-Driven Healthcare Solutions

INDUSTRY INSIGHTS

Digital Transformation Pioneers Shaping the Data & Analytics Landscape

Big Data Innovation The Catalyst for Change in Analytics Leadership

CONTENT

Deputy Editor Anish Miller

Managing Editor Prince Bolton

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Research Analyst Eric Smith

SEO Execuve Alen Spencer

Amit Mantrow Chief Data and Analycs Officer

David Rotenberg Chief Analycs Officer

Eric Beane

Chief Analycs & Data Officer

Grace Lee

Chief Analycs & Data Officer

Jodie Wallis

Chief Analycs & Data Officer

Krish Swamy

Chief Analycs & Data Officer

Oodaye Shukla

Chief AI, Analycs and Data Officer

Pan Chen

Chief Analycs & Data Officer

Shalu Bains

Chief Analycs & Data Officer

Zoher Karu

Chief Analycs & Data Officer

Company

Lockton Companies global.lockton.com

CAMH Krembil Centre camh.ca

VML vml.com

Scoabank scoabank.com Manulife manulife.com

Amit Mantrow is an accomplished Operaonal and Strategic Execuve in the insurance industry, recognized for scaling businesses, opmizing operaons, and consistently driving sustained revenue growth through innovave leadership and data-driven strategies.

David Rotenberg is a cybersecurity expert specializing in OT security, AI-driven threat detecon, and global compliance. He advances crical infrastructure protecon while shaping industry standards through leadership in IEEE, UL, and regulatory iniaves.

Eric Beane is a data and analycs leader with 24+ years' experience turning insights into impact, specializing in digital analycs, consumer intelligence, and measurement strategy to drive award-winning, business-transforming work.

Grace Lee is a data and analycs execuve with deep experse in financial services, driving growth through innovaon, emerging technologies, and strategic transformaon. She is also a commied advocate for diversity and inclusion.

Jodie Wallis is a seasoned analycs and AI execuve with 30+ years of experience. As Manulife’s Global Chief Analycs & AI Officer, she drives data-powered transformaon, innovaon, and equity in leadership.

Cizens Bank cizensbank.com

HAVAS Health havashealthandyou.com

Uniqlo China uniqlo.cn

Trillium Health Partners thp.ca

Blue Shield of California blueshieldca.com

Krish Swamy is a data science leader specializing in machine learning, big data, and digital analycs, with deep financial services experse. He drives transformaon through data-driven culture, innovaon, and strategic insight.

Oodaye Shukla is a pioneering AI and analycs leader with deep experse in healthcare, telecom, and defense, credited with groundbreaking work in rare disease detecon, ML innovaon, and scalable tech soluons.

Pan Chen is a seasoned business management professional with strong analycs experse across markeng, product development, operaons, and risk. Proven in driving business growth, P&L ownership, innovaon, and effecve people leadership.

Shalu Bains is Chief Informaon and Analycs Officer with 20+ years leading digital transformaon, strategy, and datadriven innovaon to enhance healthcare delivery, integrated planning, and performance in complex health systems.

Zoher Karu is a senior execuve driving enterprise-wide data and analycs transformaon, leveraging AI/ML to unlock insights and accelerate outcomes. A strategic, entrepreneurial leader skilled in simplifying complexity and building global teams.

THE FRONT PAGE EXCLUSIVE

Oodaye Shukla ChiefAI,Analytics and Data Officer HAVAS Health

Digital Transformation Pioneers

Shapingthe Data & Analytics Landscape

Theintroductionofthedigitalagehasbroughtabouta radical transformation in the way organizations think, operate, and make decisions. A strong force that is at the core of this evolution is digital transformation. Digitaltransformationismorethanatechnologychange;itis aredesignofvaluecreationwithdataandanalytics.Itrequires not only new platforms and tools but also new ways of thinkingandfunctioning,cultures,andabilities.

The leaders in this trend, who can also be called digital transformationpioneers,aresettinganewstandardofdata.To these organizations, data is not a passive byproduct of operations, but a strategic asset. These innovators do not merely respond to the transformation of the digital environmentbutcreateitwithinnovativeness,flexibility,and thewisdomofleadership.

EmbracingaData-FirstOperating

Model

Theprocessofthedata-firstapproachisoneofthedefinitive characteristicsofdigitaltransformationleaders.Thisincludes integrating analytics into the fabric of the business so that planning,execution,andstrategyareinformeddirectlybythe insights Dynamic/real-time intelligence puts decisionmakersinchargebynotrelyingoninstinctorold-timereports.

This method will guarantee a smooth flow of data among differentdepartmentsandwillbeusedindecision-makingat every level. It enables organizations to be more dynamic, in tunewithvaryingcircumstancesandemergingrequirements. Informationnolongerexistswithinteamsofexperts;instead, itissharedandavailableatalltimestothosewhoneeditmost.

CloudEnablementandScalableInfrastructure

Anotheraspectofdigitaltransformationisthemoderncloudnative architectures. These platforms make it easier to be flexible, quick in implementing solutions, and more capable ofseamlessintegrationofdatasourcesandanalyticstools.To the transformational pioneer, scalability does not mean only havingtosupportgrowth,butenablingtheentireorganization to utilize data more efficiently. By cloud enablement, traditional systems that stalled innovation in the past are removed, including aspects like infrastructure limitations or distributedsystems.Theywillbeabletocollaborateontheir teamsusingcommondatasetsandscalesystemsupordown as required The digital transformation requires an infrastructure that enables high-velocity experiments and ongoingdebriefs,andimprovements.

Real-TimeResponsivenessasaCompetitiveAdvantage

Theenvironmentthatmodernorganizationsworkinrequires speedalongwithresponsiveness.Thepioneersofthedigital transformation are moving to the fast provision of insight insteadofretrospectiveanalysis.Thisimpliesinterveningon dataasitbecomesavailableinsteadofretroactively.

Withreal-timeanalytics,organizationswillbeabletoidentify changes in performance, behavior, or conditions as they come.Thisenablesquicker,moreconfidentactionandcanbe done in cases of risk management, capturing opportunity, or efficiencyinworkingpractice.Thecapacitytotakeactionis keyinreal-timelivemarkets.

EthicalFoundationsandDataGovernance

Astheuseofdatabecomesmorerefined,theapplicabilityof the moral-ethical issues, along with the potent governance systems, has never been more succinct Digital transformation should not be described only as a simple or technicalpath,butalsoasaresponsibleone.Organisationsare requiredtoensurethatdatainitscollection,havingitstored, aswellasitsusage,istotallytransparent,reasonable,andnot illegaloragainstsocietalnorms.

Leaders in this environment have data governance as their first priority. They construct policies that ensure privacy protection, data quality, and accountability Such initiatives arenotperceivedasahindrancebutasthefacilitatorsoflongtermsustainabilityandtrust.Thedigitaltransformationrelies heavilyonthefoundationofethicalstewardship,committed tosustaininginnovationinaresponsiblesystem.

CultureandCapability:BeyondTechnology

Thefocusofthedigitaltransformationshouldbenotonlyon toolsandsystems,butthehumanfactoralsoplaysadecisive role. Leaders in this area are aware of the need to foster a culture of change acceptance, experimentation, and data literacy It is also crucial to invest in people, create collaborations, and build teams around common data objectives, as it is to employ new technology. Those who invented the digital transformation already know that the secret to thoughtful, sustainable change within an organizationisaculturethatencouragescuriosity,openness, andlifelonglearning.

FinalWords

Data and analytics have become a critical factor that determines the competitive advantage well beyond operational support. Leaders in digital transformation are establishing new norms of turning insight into action, complexity into clarity, and possibility into progress. Their work demonstrates how, when approached not simply as an assetbutasanaccelerator,datacanhelporganizationsrealize new and potent forms of innovation, resilience, and growth. Thesevisionariesaremorethanjustrespondingtothedigital era; they are creating it by strategic thinking, ethical responsibility,andculturalchange.

Big Data Innovation

TheCatalystforChangein Analytics Leadership

Analytics within data analysis was a back-end

requirementthatwaslimitedtoreportingwithinthe back-end operations not a strategic component. However, with the escalating complexity of markets, customer expectations, and international shocks faced by organizations, the significance of analytics has taken a new turn.Thecoreofthisparadigmshiftisthebigdatainnovation, whichistheenginetoaneweraofanalyticsleadership.Itis not only a transformation in the way businesses manage information; it is a transformation in who leads, how they lead,andthedecisionstheyultimatelyprioritize.

Whether it is real-time insights, developing predictive and prescriptive decision-making, big data innovation is no longer an option; it is now a competitive necessity The leadersoftodayinthefieldofanalyticsarenotsupposedtobe abletointerpretdata,butalsotodesignthesystems,cultures, andgovernancethatwillpermitinnovationtoflourish.

RedefiningLeadershipthroughDataCapability

At the heart of what effective analytics sustainability looks likeisastrongbaseofbigdatacapability Studiesindicatethat big data analytics capabilities (BDAC) have a great deal of valueincontributingtoorganizationalinnovation,aslongas companies develop the preparedness to leverage it, which requires an asset base of technological capabilities, human talent,andculturechange.

Simultaneously, effective information governance enhances the interconnection between BDAC and radical innovation, whichmeansthattheprocessofbigdatainnovationoccursin a responsible and sustainable way Leadership during this timeandage,therefore,goesbeyondthetechnicalexpertise;it requiresleadershiponboththeanalyticinfrastructureaswell asethicalpracticesondata.

BuildingOrganizationalReadinessforInnovation

Bigdata-driveninnovationisnotinstantlyachievedbuthasto be based on some level of readiness. Leaders should also invest in organizational preparedness, synchronizing systems, fostering analytics literacy, and building a culture receptive to data-driven transformation When the preparedness of the organization is in line with BDAC, the innovation process is more significant and orderly. When analytics leaders appreciate innovation in big data as fundamentally not an improved version of the same technology, but a company-wide change, they can achieve lastingperformanceimprovements.

GovernanceasanAcceleratorofInnovation

The big data innovation-fueled leadership is also dependent onthewillingnesstoensureeffectivegovernancesystems.In the absence of proper supervision, data-driven projects may collapse on threats such as subjectivity, privacy infringement, and regulatory breakage. The reasons why sound information governance maximizes the impact of BDAC,particularlyintheturbulentenvironment,havebeen evidenced. In this way, leaders in analytics should make the innovationsecure,transparent,andflexible.

ElevatingLeadershipRolesintheAnalyticsEconomy

As big data innovation transforms the priorities in organizations,traditionalleadershipstructuresarechanging. Critical business positions like Chief Data Officer (CDO) in manyenterprisesarelikelytofindthemselvesatthecenterof strategy, providing technology-meets-business value. Program managers encompassing CIOs and CFOs are being questioned to lead analytics infrastructure, analytics talent, and governance systems. Such an occasional position of analyticsmanagementensuresthatbigdatainnovationisno longer only a phenomenal resource but a value-making businessforce.

CultivatingaCultureofAnalyticsandInnovation

Bigdatainnovationinanalyticsleadershipisnotonlyabout the titles, but requires cultural change Data-informed decision-making is embraced by high-performing organizationsinallpositionsandfunctions.Accordingtothe studies, leaders in analytics can achieve it by driving data quality, democratizing analytics, and instilling quantitative thinking into the innovation practices. Moreover, leaders shouldcultivateaninfusionofinnovationintheorganization byinspiringempowerment,trust,transparency,andcuriosity

In this context, big data innovation is no longer a silo, but a sharedcapacity.

FromTheorytoFrontlineImpact

The real-world change is being realized through big data innovationacrossmanyspheres:

• In consumer services, businesses are integrating multichannel data with third-party sources, deploying infrastructures built by CIOs, and decentralizing analytics capabilities to business units at faster rates, reapingperformanceresults.

• ThoughtleaderssuchasThomasDavenportcharacterize thistransformationasacontinuumbetweenAnalytics1.0 (traditionalBI)toAnalytics2.0(bigdataera)toAnalytics 3.0 (integrated and data-enriched offerings). This developmenthighlightsthefactthatbigdatainnovation is changing the analytics strategy and leadership functions.

TowardtheFuture:LeadingwithInnovation

Theinnovationofbigdataprovestobeabeaconofanalytics leadership as organizations attempt to deal with complexity anddisruptivechange.Successfulleaderswillbethose:

• Include BDAC as a component of structure, strategy, governance,andculture.

• Promote and support the organizational readiness to convertthedataintoinnovation.

• Raise the governance to be a basis of sustainable, responsibleinnovation.

• Lobby cultural transformations that make analytics democraticandconducivetoexperimentation.

• Managethetalentofleadershiptosuitsthefluctuationof analyticmaturityandachangeintechnologicalgrowth.

Essentially, big data innovation is not just a buzzword but a transformativeelementthatisreshapinganalyticsleadership in a tomorrow where data-driven insight informs strategic decisions,promotesagility,anddrivesupbusinessvalue.

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