CRM Data Product Manager Vice President

As a CRM Data Product Manager you will take a hands-on product-oriented approach to translating CIB Sales domain needs into governed reliable data products with clear data contracts SLAs and measurable outcomes. You will partner with business technology data platform analytics and controlspartners to deliver actionable insights and reusable data assetsincluding curated datasets metrics layers dashboards marts APIs notebooks and ML-ready datathat enable advanced analytics and AI/ML use cases.

The CRM Data Product team drives strategic data initiatives and tooling data governance reporting and advanced performance analysis across Global Banking and Payments. This is a high-visibility role with direct engagement with senior stakeholders focused on improving efficiency performance and business outcomes.

In this role you will support the end-to-end lifecycle of data products by defining requirements improving data quality and usability and ensuring products are reliable discoverable and valuable for end users.

Job responsibilities

• Gather and document business needs user stories and acceptance criteria for data products
• Translate business questions into clear data requirements (definitions grain scope SLAs)
• Maintain and groom the product backlog; help prioritize work with the Product Manager/Lead
• Coordinate sprint activities assist with release planning and track delivery milestones
• Help define and monitor data quality rules (completeness accuracy timeliness consistency)
• Support issue triage and root-cause coordination for data incidents and defects
• Contribute to data product documentation (business definitions data dictionary lineage notes)
• Partner with engineers analysts and governance to align on definitions and controls
• Communicate status risks and dependencies to stakeholders
• Deliver data products and insights through consumption channels (APIs/data services SQL endpoints dashboards notebooks); design domain semantic layers for common Sales & Marketing analytics.
• Apply governance and controls: stewardship cataloging lineage entitlements; protect sensitive data with masking/tokenization/entitlements and regulatory compliance.

• Engage stakeholders to prioritize use cases and communicate outcomes; partner with architecture/platform teams to leverage strategic capabilities.

Required qualifications capabilities and skills

• Bachelors in computer science Data Science Engineering Finance; advanced degree a plus.
• 5 years in data engineering and/or data product development in financial services with production delivery.
• Proficiency: Product Thinking; Experience with Databricks/Snowflake; Data Products Buildout
• Strong grasp of data governance quality compliance; experience enabling AI/ML workloads.
• Familiarity with sales domains (deal lifecycle client coverage pipeline/execution fee/revenue analytics).
• Excellent communication; outcome-focused and hands-on.

Preferred qualifications capabilities and skills

• Demonstrated prior experience working in a highly matrixed complex organization