Senior Product Manager, Digital Analytics

at  Ford Motor Company

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world - together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?
The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to thousands of dealers and millions of customers in over one hundred countries around the world.

• Support the development and execution of the Ford Credit Product Analytics Strategy: Remove barriers, find solutions to complex data analytics needs across the organization Define Key Performance Indicators (KPIs), establish measurement frameworks, and create actionable insights to drive product improvements and growth
• Drive Data Analytics Self-Service: Partner with Data Engineering, data warehousing, and business intelligence teams to establish frameworks to self-serve data visualizations.
• Advocate for data-driven decision making: Promote the use of data in all product decisions and educate product teams on how to interpret and apply data insights effectively. Develop and deliver presentations and learning opportunities to promote data literacy within the product organization.
• Foster a culture of Experimentation: Advance existing experimentation program by influencing and inspiring product teams to incorporate experimentation as a core part of the product development process
• Partner closely with product and engineering teams: Collaborate with product managers and engineers to define requirements for data collection, instrumentation, and reporting. Work closely with them to incorporate data-driven insights into product development and iteration processes
• Create well-defined Product Management Documents: Develop Product Requirements Documents, Business Case Documents, Strategy Documents, KPIs, OKRs, as well as features, user stories, metrics, and acceptance criteria, prioritizing them into release planning.
• Develop and drive the execution of Product Roadmap: Develop and maintain a strategic product roadmap that balances short-term wins with long-term platform goals, continuously monitoring performance and iterating based on user feedback.
• Lead and mentor a team of Digital Analytic Product Specialists: Guide, support, and develop the skills of Product Specialists, fostering a collaborative and high-performing team environment; provide regular, constructive, and critical feedback and coaching to team members. This must include product skills, product documents and deliverables, technology skills, and product frameworks.
• Stay up to date on industry best practices and emerging technologies: Continuously learn and explore new analytic tools, techniques, and methodologies to optimize our analytic capabilities. Share knowledge and best practices with the team.
• Translate complex data into actionable insights: Analyze large datasets from various sources (e.g. Adobe Analytics, Google Analytics, CRM, Internal databases) to identify trends, patterns, and opportunities for optimization. Present findings clearly and concisely to both technical and non-technical audiences
• Develop and maintain reporting dashboards and visualizations: Create interactive dashboards and reports that provide real-time insights into key product performance metrics
• Be Proactive and Transparent: Identify issues, mitigate, and plans for them early, or escalates issues early enough to timely resolve them.