Analytics Product Manager

How will your role impact First Command?

The Analytics Product Manager will serve as a strategic liaison between business stakeholders, and Enterprise Data & Analytics teams to identify, define, and prioritize analytics and reporting needs across the organization. This role is focused heavily on understanding workflows, gathering business requirements, identifying operational opportunities, and helping translate business challenges into actionable analytics capabilities and insights.

The Analytics Product Manager will partner closely with business stakeholders, operational leaders, analytics teams, and technology organizations to improve enablement, reporting effectiveness, operational visibility, and decision-making capabilities. This role will facilitate discovery sessions, create and own ADO features, document business requirements, define KPIs and reporting expectations, and help drive adoption of analytics solutions that deliver measurable business value.

To measure success, the Data Product Manager will continuously evaluate business outcomes, stakeholder adoption, feedback, and the effectiveness of analytics solutions in supporting enterprise objectives. This role will help strengthen First Command’s ability to leverage data as a strategic asset while improving client experiences.

What will you do in this position?

• The Data Product Manager will own and drive the delivery of 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 ensure clarity around requirements, delivery expectations and timelines

• Build strong 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 clearly across both technical and non-technical audiences.

• Collaborate with leadership teams to identify opportunities for process optimization and improved operational visibility.

• 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.

Who will you lead?

May have Product Owners, Business Analysts, or Project Managers reporting to person as needed.

What skills & qualifications do you need?

Education

• Bachelor’s degree required (may consider experience in lieu of degree)

• Master’s degree preferred

Work Experience

• 10+ years work experience delivering analytics solutions experience, including going through a full product lifecycle (from launch to maturity)

• Related Financial Services industry experience, specifically Financial Planning, including an understanding of industry digital trends and technology stacks

• Awareness of Data Governance practices and processes

• Previous experience in data product development is desirable

• Related technology background is desirable

• Agile and/or Scaled-Agile (SAFe) experience

• Experience of driving the delivery of data solutions from conception through to production, including post go live support, remediation and enhancements

 

Certifications

One or more certifications in the following areas:

• Product Management

• Agile, Scaled-Agile (SAFe), or Project Management

• Platform and Technology (Power BI Data Analyst Associate)

• Process Improvement

• Financial Services

Required Knowledge, Skills and Abilities

Knowledge

• Deep understanding of the architecture of a data solution from ingestion through to analytics

• Ability to clearly articulate the impact that metrics, KPIs and other analytics have on business outcomes

• Familiarity with best practices around dashboard design and data visualization

• Relevant market and industry trends, including consumer, regulatory, legal, and technology

• Target personas and segments, overall market landscape

• Familiarity with digital technologies and industry tech stacks

• Company strategy, brand and value proposition

• Best practices and emerging trends related to innovation and go-to-market

• Agile development methods

• Ideation and opportunity identification methods

• Data Quality and Business Relevance on an Enterprise

• Working knowledge and understanding of concepts associated with Data Analysis, Data Warehousing, and Analytics & Reporting solutions including use of such tools as Power BI and Microsoft Fabric

Skills

• 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 both technical and non-technical audiences

Abilities

• Demonstrable ownership mindset

• Deep curiosity about customers, technology, and industry trends

• Visionary and forward-thinking, able to transfer a product vision into an outcome

• Strategic thinking

• Exhibits analytical, rational, and logical thinking for optimal problem-solving

• Empathetic to clients, advisors, and users

• Build trust and credibility with business stakeholders

• Understand business problems and identify analytics-driven opportunities

• Influence stakeholders and drive alignment across organizations

• Think strategically while maintaining strong operational focus

• Exhibit analytical, rational, and logical thinking for effective problem-solving

• Collaborative and customer-focused

• Detail-oriented, organized, and effective with time management

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