Data Scientist Lead Consumer Bank Marketing Analytics VP

Join Consumer Bank Marketing Analytics to transform data into insight and improve how customers discover open and use our products. As a Data Scientist Lead you will lead cross-line of business analytics efforts that streamline referrals and modernize marketing offer discovery. You will partner across Product Technology Marketing Customer Experience and Risk/Compliance to shape strategy and drive business results. You will use advanced analytics and AI-enabled tooling to accelerate delivery improve consistency and raise the bar on measurement and decisioning.

Job summary

As a Data Scientist Lead in Consumer Bank Marketing Analytics you will own the analytics strategy for marketing offer transformation initiatives that improve offer discovery fulfillment and referral experiences for customers and a cross-functional quad you will define success metrics and guardrails size and evaluate experiments and deliver dashboards and reporting that enable consistent reliable decision-making. You will translate complex analyses into clear decision-ready recommendations for senior stakeholders and align partners on the highest-impact work. You will maintain a rigorous controls environment and strong data quality practices while collaborating closely with Risk/Compliance. You will mentor junior data scientists and help build shared measurement standards across journeys and channels.

Job responsibilities

• Lead the analytics strategy planning and execution for marketing offer transformation by turning business problems into hypotheses measurement plans and decision-ready insights.
• Shape the offer transformation roadmap by identifying capability gaps (data platform process and experience) quantifying customer impact and business value and aligning the quad on highest-impact workstreams.
• Provide actionable analytics for referral capability enhancements and offer journey optimization measuring impact on acquisition activation engagement fulfillment and quality outcomes.
• Lead experimentation and test design by sourcing data defining success and guardrail metrics sizing A/B tests analyzing results and communicating recommendations to the quad and senior leadership.
• Define and govern a cross-line of business measurement framework by establishing KPIs standardizing metric definitions and aligning success metrics and guardrails across channels and journeys.
• Build and continuously improve dashboards and reporting to enable reliable decision-making improving usability timeliness data quality controls and self-service consumption.
• Drive advanced analytics to identify journey friction improve offer fulfillment and increase customer engagement across digital and banker-assisted experiences.
• Apply AI tools and automation to streamline analysis workflows reduce cycle time and accelerate insight delivery with consistent quality.
• Provide leadership and mentorship to junior data scientists as a subject matter expert for offer fulfillment experiences and measurement practices.
• Maintain a rigorous controls environment to ensure accurate timely and well-governed analyses including documentation data validation and appropriate Risk/Compliance partnership.

Required qualifications capabilities and skills

• Bachelors degree in Data Science Statistics Mathematics Computer Science Business Analytics MIS or a related field.
• 5 years of experience in analytics/data science supporting customer journeys digital products or operational workflows.
• 5 years of hands-on experience with SQL and Python.
• 5 years of experience with Adobe Analytics Tableau and Alteryx (or comparable tools).
• Proven experience defining KPIs and building measurement frameworks including guardrails and data quality checks.
• Demonstrated experience sizing and evaluating A/B experiments and communicating results to business and technical audiences.
• Strong dashboarding/BI skills including metric governance performance optimization and executive-ready reporting.
• Strong slide-writing and storytelling skills to deliver clear narratives and recommendations.
• Excellent communication influence and stakeholder management skills with ability to lead through ambiguity and drive outcomes.
• Strong communication skills to translate complex analyses into clear narratives for executive business and technical audiences.
• Proven ability to take initiative influence others and achieve results.

Preferred qualifications capabilities and skills

• Experience in financial services and/or other regulated environments.
• Demonstrated experience using AI coding tools (for example GitHub Copilot Claude Code Cortex) to improve productivity and accelerate insights.
• Intellectually curious and eager to become a subject matter expert in your focus area.
• Creative problem solver with strong analytical rigor.
• Strong communicator who can build relationships with key stakeholders.