Dearborn, MI, USA
3 days ago
Senior Product Manager, Digital Analytics

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.

In this position...

Ford Credit is experiencing significant business transformation in an ever-changing digital world. To create this all-new automotive financing experience, we are gathering a team of world-class strategists, innovators, creators, and technicians and searching for a Sr. Product Manager, Digital Analytics who will help to unlock the power of our data and the financial calculation platform and transform our relationship with our customers.Ford Credit is not just evolving but upending what it means to finance vehicles and other services as an industry. The Ford Credit team helps put people behind the wheels of great Ford and Lincoln vehicles. We are reinventing the way people think about financing for millions of users. We are making our products and services incredibly easy to understand and helping to provide freedom of movement to everyone.

You'll have...

Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Business Analytics) with a combination of experience and educationMinimum of 10 years’ experience in digital analytics and experimentation within a technology companyMinimum of 7 years’ experience leading Digital Analytics Center of Excellence in a large organization with a proven record of architecting and driving analytics implementation guides, dictionaries, governance, and streamlining across multiple business units.Minimum of 7 years’ experience leading and mentoring digital analytics teams; Demonstrated success in building and managing high-performing teamsA strategist with a strong product mindset, expertise in defining the strategy on critical customer journey insights, with a deep understanding of how they need to be collected from digital channels to stitch the customer journeys and derive critical data insights.Experience working within product organizations: Proven track-record of successfully driving product improvements and growth using data-driven insights. Understanding of and experience with agile methodologies and product development lifecyclesEstablished experience with A/B Testing and experimentation methodologies and toolsExtensive experience with digital analytics platforms: Deep expertise in analytic tooling (Adobe, Google Analytics, Mixpanel, Contentsquare, Adobe Target, Adobe Analytics, Tag Managers, SDKs ) including experience with data collection, processing, analysis, and reportingExperience with data visualization tools such as Tableau, Qlik Sense, and Power BI

Even better, you may have...

Master of Business Administration or other Master’s degree preferredExcellent communication and presentation skills: Ability to communicate complex information clearly and concisely for both technical and non-technical audiencesStrong problem-solving skills with the ability to comfortably pivot and change direction in a fluid environment where priorities shift regularly.Ability to work both independently and collaboratively in a fast-paced environmentStrong Analytic Skills and problem-solving skills: Ability to analyze large datasets, identify trends, draw conclusions, and communicate insights effectivelyExperience with data warehousing and big data technologies (e.g. BigQuery, Snowflake) a plus

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, vision and prescription drug coverageFlexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and moreFamily building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and moreVehicle discount program for employees and family members and management leasesTuition assistanceEstablished and active employee resource groupsPaid time off for individual and team community serviceA generous schedule of paid holidays, including the week between Christmas and New Year’s DayPaid time off and the option to purchase additional vacation time.

This position is a leadership level 6.

For more information on salary and benefits, click here: https://fordcareers.co/LL6HTHD

 

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

 

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

 

#LI-Remote #LI-FordCredit #LI-MK2

What you'll do...

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 growthDrive 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 processPartner 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 processesCreate 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 audiencesDevelop and maintain reporting dashboards and visualizations: Create interactive dashboards and reports that provide real-time insights into key product performance metricsBe Proactive and Transparent: Identify issues, mitigate, and plans for them early, or escalates issues early enough to timely resolve them.
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