ScopeofResponsibilities

1.  Data,Analytics,andAI(Enterprise-WideLeadership)

 ·        Leadthefirm’senterprisedatastrategy,analyticscapabilities,andreportingframework, ensuring full alignment with business priorities across Capital Markets, Institutional Sales, and Wealth.

·        Establishandoverseeacomprehensivedatagovernance,quality,andstewardship

programtoensuredataaccuracy,integrity,and accountabilityacrossbusinessdomains.

·        Build and maintain a modern cloud-based data architecture leveraging Azure, Snowflake,PowerBI,APIs,andmicroservicestoenableanalytics,automation,and scalability.

·        Overseereferencedata,metadatamanagement,andmasterdataintegration for consistent and trusted enterprise-wide data assets.

·        Serve as the central AI and machine learning leader, embedding intelligenceintoworkflows,dataplatforms,anddecisionprocessesenterprise-wide.

·        Advancepredictiveanalyticsandautomationtoenhanceclientengagement,sales effectiveness, and operational efficiency.

·        PartneracrossbusinesslinestoaccelerateadoptionofAI,includingGenAI-driven productivity, personalization, and process automation.

·        PromoteResponsibleAIpracticesandcompliancewithFINRA,SEC,andSOC regulatory frameworks.

·        DrivetheevolutionofBIandvisualizationcapabilities(PowerBI,Tableau)topromote data democratization and self-service analytics.

2.  Sales,Marketing,andCorporateSystems

 ·        OverseeSalesforce,Sitecore,MarTech,andrelatedenterprisesystemssupportingsales, marketing, distribution, and corporate functions.

·        Managedigitalportals,microsites,andCRMintegrationstosupportrevenuegrowth, client experience, and brand consistency.

·        PartnerwithSales,Distribution,andMarketingleadershiptoenabledata-driven targeting, campaign analytics, and client engagement insights.

·        IntegrateAIandanalyticsintosalesworkflowstoimprovesegmentation,leadscoring, cross-sell opportunities, and advisor productivity.

·        Driveadoptionofautomation,workfloworchestration,andlow-code/no-codesolutions (Power Apps, RPA) to streamline sales and marketing processes.

·        StrengthenCRMcapabilitiesanddigitalcollaborationtoolsacrossinstitutionalsales, distribution, and wealth channels.

·        Ensurecohesivearchitectureandintegrationbetweenclient-facingsystemsandcoredata platforms under the OneTech model.

3.  EnterpriseandCorporateSystems

 ·        ProvidestrategicoversightforenterpriseapplicationssupportingFinance,HR,Legal,and Operations, ensuring consistent data integration and workflow efficiency.

·        Partnerwithfunctionalleaderstomodernizecoresystems,streamlineprocesses,and improve user experience through automation and shared data services.

·        Maintainaresilient, scalable,andsecuretechnologyenvironmentconsistent with

InspereX’sregulatoryandbusinesscontinuitystandards.

4.  LeadershipandExecution

 ·        Build,lead,andmentorhigh-performingteamsacrossdataengineering,analytics,AI, and enterprise applications.

·        Collaboratewithseniorbusinessandtechnologyleaderstodefineandtrackmeasurable KPIs for data quality, AI adoption, and digital enablement success.

·        DrivealignmentthroughtheOneTechoperatingmodel,ensuringtransparency, accountability, and delivery consistency across all technology domains.

·        Managevendorrelationships,budgets,anddeliverytimelinesacrosstheData,AI,and Digital Enablement portfolio.

·        ServeasastrategicadvisortotheCTOandExecutiveLeadershipTeamonenterprise data, AI, and digital transformation initiatives.

StrategicRationale

·        Enterprise AI Leadership: Establishes a firmwide center of excellence for AI and analytics,bridgingdatascience,sales,anddigitaldeliveryacrossallbusinessfunctions.

·        UnifiedLeadershipModel:Combinesdataintelligence,distributionenablement,and automation under a single accountable leader.

·        OneTechAlignment:Reinforcesplatform-centricarchitecturebylinking data insights directly to client-facing and operational systems.

·        EfficiencyandAcceleration:Reducesduplication,strengthensgovernance,and accelerates AI and automation adoption.

·        ImprovedDecisionVelocity:EmbedsanalyticsandAIcapabilitiesdirectlyintosales, marketing, and operational workflows, driving faster, insight-driven outcomes.

Qualifications

·        15+yearsofprogressiveleadershipindata,analytics,andenterprisetechnologywithin financial services, fintech, or capital markets.

·        Provensuccesssupportinginstitutionalsales,distribution,andwealthmanagement technology platforms.

·        Deepexpertiseindatagovernance,qualitymanagement,stewardship,andcloud-based data architectures.

·        StrongtechnicalproficiencyinSalesforce,Sitecore,MarTechplatforms,Snowflake,and Power BI.

·        Demonstratedsuccessimplementingreferencedataandmetadatamanagement frameworks in regulated environments.

·        Hands-onexperiencewithmoderndataarchitecturesincludingdatalakes,APIs,and microservices.

·        Provenrecordofdeliveringenterprise-scaleAI/MLintegrationintoworkflowsandclient engagement platforms.

·        Knowledgeof regulatory andcompliancestandards(FINRA,SEC,SOC,NIST).

·        Exceptionalcommunicationandexecutivestakeholdermanagementskills. 

·        Bachelor’sdegreeinComputerScience,InformationSystems,orrelatedfieldrequired;

advanceddegree(MSorMBA) preferred.

LeadershipCompetencies