Analytics Product Manager

First Command Financial Services•Fort Worth, TX

1d•Hybrid

About The Position

The Analytics Product Manager serves as a strategic liaison between business stakeholders and Enterprise Data & Analytics teams, identifying, defining, and prioritizing analytics and reporting needs across the organization. The role focuses on understanding workflows, gathering business requirements, identifying operational opportunities, and translating business challenges into actionable analytics capabilities and insights. It partners with operational leaders, analytics teams, and technology organizations to improve enablement, reporting effectiveness, operational visibility, and decision-making. The role facilitates discovery sessions, creates and owns ADO features, documents requirements, defines KPIs and reporting expectations, and drives adoption of analytics solutions that deliver measurable business value. It owns and drives data products from conception through production release, including ongoing remediation, support, and enhancements. Success is measured by business outcomes, stakeholder adoption and feedback, and the effectiveness of analytics solutions in supporting enterprise objectives. The position helps strengthen the organization's use of data as a strategic asset and improve client experiences.

Requirements

Bachelor’s degree required, although experience may be considered in lieu of a degree.
10+ years of work experience delivering analytics solutions, including experience through a full product lifecycle from launch to maturity.
Related Financial Services industry experience, specifically Financial Planning, including understanding of industry digital trends and technology stacks.
Awareness of data governance practices and processes.
Experience driving data solutions from conception through production, including post-go-live support, remediation, and enhancements.
Deep understanding of data-solution architecture from ingestion through analytics.
Ability to articulate how metrics, KPIs, and analytics affect business outcomes.
Familiarity with dashboard design and data visualization best practices.
Working knowledge of data analysis, data warehousing, and analytics and reporting solutions, including tools such as Power BI and Microsoft Fabric.
Agile development methods experience.
Strong communication, facilitation, and relationship-building skills.
Ability to engage effectively with business stakeholders, executives, and operational teams.
Strong analytical thinking and problem-solving capabilities.
Ability to translate business discussions into actionable requirements and outcomes.
Strong documentation and presentation skills.
Ability to manage multiple priorities and stakeholder relationships simultaneously.
Ability to communicate effectively with technical and non-technical audiences.
Demonstrable ownership mindset and strategic thinking.
Ability to transfer a product vision into an outcome.
Ability to understand business problems, identify analytics-driven opportunities, influence stakeholders, and drive alignment across organizations.
Collaborative, customer-focused, detail-oriented, and organized, with effective time-management skills.

Nice To Haves

Master’s degree.
Previous experience in data product development.
Related technology background.
Agile and/or Scaled-Agile (SAFe) experience.
One or more certifications in Product Management; Agile, Scaled-Agile (SAFe), or Project Management; Platform and Technology (Power BI Data Analyst Associate); Process Improvement; or Financial Services.
Familiarity with market and industry trends, including consumer, regulatory, legal, and technology trends; target personas and segments; and the overall market landscape.
Familiarity with digital technologies and industry technology stacks.
Knowledge of company strategy, brand, and value proposition; innovation and go-to-market best practices and emerging trends; and ideation and opportunity-identification methods.
Knowledge of data quality and business relevance in an enterprise.

Responsibilities

Own and drive data product delivery from conception to production release, including ongoing remediation, support, and enhancements.
Act as the single point of arbitration between business users and engineering teams to clarify requirements, delivery expectations, and timelines.
Build relationships with operational teams and business stakeholders across the enterprise.
Facilitate discovery sessions, workshops, interviews, and stakeholder meetings to gather business and analytics requirements.
Analyze workflows, operational processes, and reporting gaps to identify opportunities for analytics-driven improvements.
Document current-state and future-state workflows, business processes, KPI definitions, and reporting requirements.
Collaborate with Analytics, Data Engineering, and Technology teams to translate business requirements into actionable deliverables.
Partner with business stakeholders to prioritize analytics initiatives based on business value.
Help define and standardize enterprise reporting metrics, KPIs, and business terminology.
Support development and adoption of dashboards, scorecards, self-service reporting, and analytics capabilities.
Assist with roadmap development and prioritization for enterprise analytics initiatives.
Communicate business priorities, impacts, and opportunities to technical and non-technical audiences.
Collaborate with leadership teams to identify process optimization and operational visibility opportunities.
Support training, communication, and change management activities related to analytics and reporting initiatives.
Maintain documentation, including agile features, workflows, and KPI definitions.
Ensure analytics and reporting solutions align with governance, compliance, privacy, and data quality expectations.
Evaluate business outcomes, stakeholder adoption and feedback, and solution effectiveness.