Technical Product Manager 3(Data Platform, Analytics & Governance)
us bankCharlotte (NC)
Technical Product Manager 3(Data Platform, Analytics & Governance)
Posted today
us bankCharlotte (NC)
SENIORITY
Lead
About the role
Overview:
As a Technical Data Product Manager, you will lead the strategy and roadmap for enterprise data products, guiding cross-functional teams to deliver measurable outcomes. You’ll align stakeholders with a data-driven vision, manage the backlog, and drive governance, quality, and performance metrics. You will work closely with engineering and architecture to modernize data platforms and enable faster time-to-value. This role offers impact across data strategy, risk management, and product health in a large, regulated financial services environment. Compensation / Benefits Healthcare (medical, dental, vision) Life insurance Disability (short-term and long-term) 401(k) with employer contributions Paid vacation Paid holidays
Responsibilities:
Define and execute the product vision, roadmap, and strategy for AC360 in line with enterprise data goals Establish ownership boundaries between enterprise-wide customer/relationship data and domain data products Collaborate with engineering, architecture, and platform teams to assess solutions, tradeoffs, and modernization opportunities Translate business requirements into actionable capabilities, stories, acceptance criteria, and outcomes Prioritize and manage the product backlog balancing new features, technical debt, defects, governance, and stability Lead enterprise data governance initiatives with Data Office, MDM, architecture, and stakeholders to improve data quality and controls Monitor and report product performance metrics, adoption, service levels, and customer satisfaction to drive value Leverage OKRs to steer roadmap priorities
Key requirements:
5+ years in Technical Data Product Management Bachelor’s degree or equivalent experience Experience defining product strategy, roadmaps, backlogs, requirements, acceptance criteria, and success measures Familiar with JIRA and Confluence Strong data analytics skills with SQL, Python, Spark Working understanding of data engineering and data architecture Knowledge of data architecture, modeling, pipelines, quality, lineage, governance, and dependencies Ability to assess technical choices for customer value, scalability, maintainability, and risk Clear written and verbal communication across technical and business audiences Strong stakeholder management and strategic thinking Ability to translate complex technical concepts into business outcomes JIRA Confluence SQL
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