Product Manager, Data Analytics & Insights in Alpharetta, Georgia at F & I Sentinel Llc

LOCATION: Remote (metro Atlanta preferred)

REPORTS TO: VP of Product Management

KEY RELATIONSHIPS AND TEAM:

Data Engineering & Analytics: Define scalable data models, pipelines, quality standards, and observability practices supporting enterprise and customer-facing data products

Engineering & Product Teams: Align on shared schemas, event standards, integrations, and trusted cross-product data foundations

Finance & Operations: Ensure consistency and reconciliation across operational, customer, and financial reporting metrics

Compliance & Risk: Establish traceability, governance, auditability, and regulatory alignment for enterprise data workflows

Marketing, Sales & Customer Success: Enable adoption of customer-facing insights capabilities and ensure alignment on data-driven value propositions

Leadership: Provide visibility into data strategy, quality, tradeoffs, risks, and organizational impact

ABOUT THE ROLE:

We are hiring a Product Manager to lead the strategy, governance, and evolution of enterprise data capabilities powering customer-facing products, operational intelligence, financial reporting, and scalable business decision-making. This role is responsible for improving the quality, consistency, trust, and usability of data across the organization while building customer-facing insights and reporting experiences. The role owns data as a strategic product, defining shared data foundations, governing metrics and schemas, and enabling scalable, data-driven capabilities across products and business functions. The Data Analytics & Insights Product Manager will operate at the intersection of Product, Data Engineering, Analytics, Finance, Compliance, Operations, and Customer Experience to ensure data is accurate, auditable, actionable, and aligned across internal and external systems.

THE OPPORTUNITY:

As a Product Manager, Data Analytics & Insights, you will lead the evolution of enterprise data capabilities into trusted, scalable data products and customer-facing insights experiences. You will define shared data frameworks, establish scalable schemas and governance practices across multiple systems, and improve the quality, consistency, and usability of data across products and business operations. This role will play a critical part in aligning operational, customer, and financial data to improve visibility, trust, automation, and decision-making across the organization. Success in this role requires strong systems thinking, technical fluency in modern data concepts, and the ability to align product strategy, data architecture, and business outcomes in a highly collaborative and regulated environment.

KEY RESPONSIBILITIES:

Product Ownership & Outcomes

Own data product outcomes from discovery through delivery and adoption

Define and validate problems using data signals, customer context, and financial impact

Define and maintain a clear data product roadmap aligned to customer value and business priorities

Translate complex technical and analytical concepts into actionable business insights and customer value

Data Quality, Governance & Architecture

Improve the consistency, accuracy, trust, and usability of data across customer-facing and internal systems

Partner with Data Engineering to define scalable data models, schemas, lineage, and transformation standards

Establish governance practices for data ownership, metric definitions, documentation, and quality standards

Support root-cause analysis and resolution of data inconsistencies, quality issues, and cross-system dependencies

Ensure customer-facing reporting experiences are accurate, scalable, intuitive, and trusted

Cross-Functional Leadership

Partner across Product, Engineering, Data, Finance, Compliance, Operations, and GTM teams to align priorities and drive execution

Influence data standards and best practices across product teams and organizational workflows

Communicate data strategy, roadmap priorities, risks, and outcomes clearly to leadership and stakeholders

Data Adoption, Insights & Continuous Improvement

Drive adoption of standardized data products and reporting capabilities across internal and external users

Partner with business teams to identify opportunities for automation, operational visibility, and improved decision-making

Establish monitoring and feedback loops to continuously improve data quality, product adoption, and business impact

Professional Qualifications:

The following knowledge, skills, education, and experiences are required:

5+ years of experience as a Product Manager, with significant experience in data, analytics, or platform products

Demonstrated ownership of data-driven products, datasets, or reporting platforms.

Experience building data-driven products, analytics features, or reporting experiences

Hands-on experience working with data frameworks, schema definition, and multiple data sources

Strong systems thinking and comfort with integration-heavy product environments

Proven ability to operate in ambiguity and build net-new product experiences

Background partnering closely with platform, data, or infrastructure-focused teams

Strong written and verbal communication skills, including executive-level communication

Strong stakeholder management and cross-functional collaboration skills

Experience in automotive finance or adjacent regulated industries is preferred

Experience working in compliance or risk-sensitive environments is preferred

Why Consider Joining FIS now?

The business is poised for accelerated growth. The company's story is one of protecting financial institutions and consumers alike with respect to F&I products. We offer a competitive salary and performance-based bonuses, as well as comprehensive benefits, including medical, dental, vision, life insurance, and more. We also offer a generous PTO policy and paid holidays.

The following behaviors are required:

Outcome-oriented thinking: focused on automation, efficiency, and visibility

Ownership and accountability: Takes responsibility for product decisions and their impact

Judgment under constraint: Makes thoughtful decisions balancing compliance, risk, speed, and value

Systems thinking: Understands how data flows across products, operational processes, customer experiences, and financial reporting

Curiosity and learning mindset: Seeks evidence, validates assumptions, and incorporates learning into future decisions

Clarity and transparency: Communicates intent, decisions, and tradeoffs openly and clearly

Collaborative leadership: Leadership built on trust and partnership

F&I Sentinel is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status, or other characteristics protected by law.