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Tech Stack
Tools & technologiesAzurePythonSQLTableau
About the role
Key responsibilities & impact- Lead end‑to‑end analytics across Consumer Banking to improve customer acquisition, relationship deepening, retention, profitability, and operational efficiency.
- Define and implement KPIs, dashboards, and performance metrics aligned to business outcomes.
- Develop and deploy predictive AI/ML models, segmentation frameworks, and product and pricing analytics.
- Apply advanced statistical methods to analyze, synthesize, and interpret complex data.
- Ensure insights strategies align with Consumer Banking goals and expected outcomes.
- Present insights in clear, visually compelling formats for executive and business audiences.
- Identify, acquire, and manage data sources while ensuring data quality, governance, and security.
- Build a deep understanding of customer needs, sentiments, and pain points to enable empathetic, customer‑centric decision‑making.
- Map and analyze end‑to‑end customer journeys to identify opportunities to improve experiences across touchpoints.
- Design and lead qualitative and quantitative research to inform CX strategy, product innovation, and service improvements.
- Leverage VoC, CSAT, behavioral analytics, and journey insights to drive continuous CX improvement.
- Champion and partner on inner‑ and outer‑loop CX processes to ensure insights lead to action.
- Collaborate with Product, Marketing, Business Line, and Technology partners to optimize experiences and expand self‑service capabilities.
- Build, lead, and develop high‑performing teams of data scientists, analysts, CX strategists, and researchers.
- Serve as a trusted advisor and thought leader to senior and executive leadership.
- Align analytics and CX initiatives with enterprise and Consumer Banking strategies.
- Drive transformation initiatives focused on efficiency, scalability, and impact.
- Anticipate and respond quickly to changing market conditions, technologies, and customer expectations.
- Provide overall operational leadership, including financial management, vendor and agency oversight, and talent planning.
Requirements
What you’ll need- 15+ years of experience in data analytics, customer experience, research, or related fields, with demonstrated leadership in banking, fintech, or financial services.
- Master’s degree preferred in Data Analytics, Business, Finance, Economics, or a related quantitative discipline.
- Deep expertise in advanced analytics, predictive modeling, AI/ML, and customer experience strategy.
- Strong knowledge of consumer banking products, including deposits, lending, payments, and digital services.
- Proficiency with analytics and visualization platforms such as Azure, SQL, Python, SAS, Power BI, Tableau, or similar tools.
- Experience with CX platforms (e.g., Qualtrics Experience Manager) and digital banking technologies.
- Exceptional leadership, communication, and stakeholder-management skills.
- Proven ability to plan, execute, and interpret research and surveys to improve customer experience, with strong empathy for customer needs.
- Advanced capability to lead organizational change across people, culture, technology, and processes.
- Strong understanding of marketing technology ecosystems and applied statistical concepts.
- Demonstrated expertise in selecting, managing, and optimizing vendor and agency partnerships.
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticscustomer experience strategypredictive modelingAI/MLadvanced analyticsstatistical methodsresearch executionperformance metricsKPI definitiondata quality management
Soft Skills
leadershipcommunicationstakeholder managementempathycollaborationstrategic thinkingchange managementteam developmentcustomer-centric decision-makingoperational leadership
Certifications
Master’s degree in Data AnalyticsMaster’s degree in BusinessMaster’s degree in FinanceMaster’s degree in Economics
