Product Manager Jobs

About The Position

Requirements

• At least 5 years of experience in Technical Data Product Management.
• Bachelor’s degree or equivalent experience.
• Experience defining product strategy, roadmaps, backlogs, requirements, acceptance criteria, and product success measures.
• Experience with tools such as JIRA and Confluence.
• Clear written and verbal communication skills for technical and business-facing discussions.
• Strong data analytics skills, including experience with tools such as SQL, Python, or Spark.
• Working understanding of data engineering and architecture sufficient to engage credibly with engineers and architects.
• Strong knowledge of data architecture, modeling, data pipelines, data quality, lineage, metadata, governance, and dependency management.
• Ability to assess technical choices in terms of customer value, scalability, maintainability, operational risk, and control.

Nice To Haves

• Familiarity with modern cloud and analytics platforms, including Databricks, distributed data processing, and enterprise data platform modernization initiatives.
• Excellent communication, stakeholder management, and strategic thinking skills, including the ability to translate complex technical concepts into business outcomes.
• Experience managing technically complex data products, enterprise data platforms, or analytics products.
• Strong judgment in balancing strategic product development with production support and operational stability.

Responsibilities

• Define and execute AC360’s product vision, roadmap, and strategic direction in alignment with enterprise data strategy and business objectives.
• Align cross-functional stakeholders around an outcome-based roadmap, product risks, investment areas, and success measures.
• Establish and maintain ownership boundaries between enterprise-managed customer and relationship data and domain-owned data products.
• Partner with engineering, architecture, and platform teams to evaluate technical solutions, tradeoffs, dependencies, and modernization opportunities.
• Translate business requirements into product capabilities, user stories, acceptance criteria, and measurable outcomes.
• Own and prioritize the product backlog, balancing feature development, technical debt, defect remediation, governance needs, and operational stability.
• Lead data governance initiatives with the Data Office, MDM, architecture, and business stakeholders to improve data quality, lineage, controls, and compliance.
• Identify and manage risks related to upstream system changes, schema modifications, pipeline enhancements, and platform evolution.
• Define, monitor, analyze, and report product performance, adoption, service-level, operational health, quality, and consumer satisfaction metrics.
• Use performance metrics to identify trends and improvement opportunities and advance strategies and initiatives.
• Lead defect management and issue prioritization to improve data quality and consumer confidence.
• Own engagement for the assigned technical portfolio across the SDLC, including adoption and collaboration.
• Use OKRs to drive roadmap priorities and product progress.

Benefits

• Healthcare benefits, including medical, dental, and vision coverage.
• Basic term and optional term life insurance.
• Short-term and long-term disability insurance.
• Pregnancy disability and parental leave.
• 401(k) and employer-funded retirement plan.
• Paid vacation of 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 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
• Incentive and recognition programs.
• Equity stock purchase, 401(k) contribution, and pension, subject to eligibility requirements.