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Tech Stack
Tools & technologiesAzureCloudPythonSQL
About the role
Key responsibilities & impact- Lead the analytics and customer experience insights strategy for Wealth and Wholesale
- Convert complex, multi-source data into decision products that drive revenue growth, client deepening, and business performance
- Operate as a strategic partner to senior leadership
- Own high-visibility insight platforms and shape how data is translated into decisions across the organization
- Advance AI-enabled, insight-driven decisioning, while establishing a consistent, trusted view of performance and client behavior
- Define and lead the analytics and CX insights strategy, setting roadmaps, standards, and priorities across WCIB
- Own and scale executive insight products, ensuring they are decision-ready, highly adopted, and embedded in business workflows
- Serve as a trusted advisor to senior leaders, delivering concise, actionable insights that directly influence strategy and performance
- Integrate customer experience, behavioral, and operational data into a unified view of client and business performance
- Drive performance analytics across acquisition, deepening, retention, and portfolio management—linking insights directly to growth and efficiency outcomes
- Establish and reinforce trusted, consistent data and metrics across enterprise systems, improving transparency and confidence in decision-making
- Lead the shift from traditional reporting to scalable, insight-led products that enable faster, more effective decisions
- Reduce duplication and increase reuse of analytics assets, driving consistency and efficiency across teams
- Partner across analytics, engineering, CX, and business teams in a matrixed environment to ensure alignment, scalability, and enterprise-ready solutions
- Build and develop high-performing analytics teams, fostering a culture focused on outcomes, ownership, and continuous improvement
Requirements
What you’ll need- 12+ years leading analytics or data teams in complex environments
- Proven experience influencing senior executive decision-making through data and insights
- Track record of building and scaling analytics products and insights capabilities
- Strong grounding in data visualization, data ecosystems, and governance
- Exceptional executive communication and storytelling skills
- Experience in Wholesale/Commercial Banking, Payments, or Wealth (preferred)
- Exposure to AI/ML or GenAI-driven analytics (preferred)
- Experience operating in matrixed, enterprise organizations (preferred)
- Fluency across modern analytics and data ecosystems
- Strong SQL and data engineering fundamentals, including data modeling and pipeline development
- Experience with cloud-based data platforms (e.g., Databricks, Snowflake, Synapse)
- Familiarity with data movement and transformation tools (e.g., Alteryx, Azure Data Factory)
- Applied analytics mindset with working knowledge of Python, data science, and machine learning concepts
- Understanding of GenAI applications in analytics and decision-making
- Knowledge of data governance frameworks (data quality, lineage, metadata)
- Familiarity with modern development practices (Git, CI/CD, testing)
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 visualizationdata ecosystemsdata governanceSQLdata engineeringdata modelingpipeline developmentPythonmachine learningGenAI applications
Soft Skills
executive communicationstorytellinginfluencingbuilding high-performing teamsoutcomes-focusedownershipcontinuous improvementstrategic partnershipactionable insightscollaboration