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 controls **partners to deliver actionable insights and reusable data assets—including curated datasets, metrics layers, dashboards, marts, APIs, notebooks, and ML-ready data—that 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
- Bachelor’s 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