Senior Director – Financial Services Analytics and Decisioning

dentsu Austria

. Set the strategic direction, overall vision, and outcomes for the team .

Posted 11/9/2026full-timeRemote • Maryland • United StatesSenior💰 $143,000 - $224,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics leadership, client relationship management, and strategic visioning, with a strong focus on customer analytics and data-driven decision-making. Proficient in managing complex portfolios and delivering insights that drive business outcomes across financial services.

Highest-signal resume keywords

15+ Years In AnalyticsC-Level Client AdvisoryStrong SQL And Data ModelingExperience With Regulated Customer DataLead Management And Decisioning Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Customer Lifetime Value (CLV) ModelingPropensity ModelingIncrementality ModelingData ValidationFeature FrameworksETL/ELTPredictive AnalyticsText And Speech AnalyticsBusiness DevelopmentAnalytics Delivery

Soft Skills

Stakeholder ManagementClient-Facing CommunicationLeadership And MentoringThought LeadershipAbility To Lead Through Ambiguity

Tools & Technologies

SQLPythonRTableauPower BILookerGCPBigQuerySalesforceSSIS

Industry Keywords

InsuranceBankingCustomer LifecycleData GovernanceGLBAFCRATCPACredit BureauAgency ExperienceConsulting Experience

Tech Stack

Tools & technologies

BigQueryETLGoogle Cloud PlatformPythonSQLSSISTableau

About the role

Key responsibilities & impact

Set the strategic direction, overall vision, and outcomes for the team
Own senior client relationships as the primary analytics partner to C-suite and senior executives
Set customer analytics visions and multi-year roadmaps aligned to business priorities
Provide thought leadership on lead management, next best action, incrementality, and customer value
Translate customer, call center, and omnichannel data into executive-ready recommendations
Set standards for segmentation, propensity, lead scoring, and CLV, including validation, calibration, and champion/challenger design
Lead next best action and decisioning design, including eligibility rules, business constraints, and offline-to-live validation
Set measurement and test-and-learn standards
Orchestrate analytics, data science, and engineering delivery, including ETL/ELT, feature frameworks, and data governance
Partner across operations, marketing, and distribution to turn insight into measurable action
Modernize legacy data and analytics processes using AI-enabled analytics and unstructured data where valuable
Establish frameworks, best practices, and documentation standards across the portfolio
Lead through ambiguity and client transitions with clear ownership
Lead, mentor, and develop Directors, Team Leads, and senior modelers
Contribute to proposals, expansion, and scoping
Travel to client sites as account needs require, typically monthly to quarterly
Report to VP, Analytics, Financial Services

Requirements

What you’ll need

15+ years in analytics, data science, or related fields
Experience leading modeling delivery for multiple clients or complex portfolios and managing senior leaders
Track record advising C-level or senior executives in insurance or banking
Strong stakeholder management and client-facing communication
Deep understanding of customer lifecycle, acquisition and retention economics, and CLV
Hands-on depth in propensity, ranking, and CLV modeling
Ability to review code, features, and validation directly
Experience with regulated customer data, including privacy, consent, GLBA, FCRA and permissible purpose, state insurance regulation, and TCPA as applicable
Strong SQL and data modeling (facts and dimensions)
Working familiarity with Python or R, ETL/ELT (SSIS or similar), and BI tools (Tableau, Power BI, or Looker)
Bachelor's degree required
GCP/BigQuery experience preferred
Insurance and protection depth preferred
Banking and lending depth preferred
Credit bureau experience, including TransUnion, preferred
Salesforce or contact center analytics preferred
Predictive analytics, text and speech analytics, and AI readiness preferred
Lead management, next best action, or decisioning platform experience preferred
Uplift modeling, incrementality, or MMM at scale preferred
Agency or consulting experience in complex, multi-workstream environments preferred
Business development and expansion track record preferred

Benefits

Comp & perks

Medical, vision, and dental insurance
Life insurance
Short-term and long-term disability insurance
401k
Flexible paid time off
At least 15 paid holidays per year
Paid sick and safe leave
Paid parental leave
Applicable state and local employee leave benefits