Analytics Product Manager

First Command Financial Services, Inc.•Fort Worth, TX

2d•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. The position partners with business stakeholders, operational leaders, analytics teams, and technology organizations to improve enablement, reporting effectiveness, operational visibility, and decision-making. It facilitates discovery sessions, creates and owns ADO features, documents business requirements, defines KPIs and reporting expectations, and drives adoption of analytics solutions that deliver measurable business value. The role owns and drives data products from conception through production release, including ongoing remediation, support, and enhancements. Success is evaluated through business outcomes, stakeholder adoption and feedback, and the effectiveness of analytics solutions in supporting enterprise objectives and improving client experiences. The position may have Product Owners, Business Analysts, or Project Managers reporting to it as needed.

Requirements

Bachelor’s degree required; 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 industry digital trends and technology stacks.
Awareness of Data Governance practices and processes.
Agile and/or Scaled-Agile (SAFe) experience.
Experience driving delivery of 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.
Knowledge of relevant market and industry trends, including consumer, regulatory, legal, and technology trends.
Knowledge of 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.
Knowledge of innovation and go-to-market best practices and emerging trends.
Knowledge of Agile development methods and ideation and opportunity-identification methods.
Understanding of enterprise data quality and business relevance.
Working knowledge of Data Analysis, Data Warehousing, and Analytics & Reporting solutions, including tools such as Power BI and Microsoft Fabric.
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; curiosity about customers, technology, and industry trends; strategic thinking; and the ability to turn product vision into outcomes.
Ability to build trust and credibility, understand business problems, identify analytics-driven opportunities, influence stakeholders, and drive alignment across organizations.
Collaborative, customer-focused, empathetic, detail-oriented, organized, and effective at time management.

Nice To Haves

Master’s degree preferred.
Previous experience in data product development is desirable.
Related technology background is desirable.
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.

Responsibilities

Own and drive data products 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 analytics-driven improvement opportunities.
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.
Continuously evaluate business outcomes, stakeholder adoption and feedback, and the effectiveness of analytics solutions.