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 Commands 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

• Bachelors degree required (may consider experience in lieu of degree)
• Masters degree preferred

Work Experience

• 10 yearsworkexperience delivering analytics solutions experience including going through a full product lifecycle (from launch to maturity)
• RelatedFinancial Servicesindustry 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
• Agileand/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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