Data Product Manager

Ford; Dearborn (MI); Hybrid; USD 68,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, vision

Parental leave

Backup child care

Vehicle discount

Tuition assistance

Paid time off

Paid holidays

Job summary

Ford Motor Company in Dearborn, MI is seeking a Connected Vehicle Data Product Management Analyst to drive data products on the Enterprise Data Platform. You will translate business needs into data solutions, collaborate with data engineers and analytics teams, and maintain roadmaps ensuring data quality and governance.

The role requires 3+ years in data engineering/science, strong SQL/Python, and cloud experience.

Qualifications

• Bachelor's degree in computer science, data science, statistics, or a related field.
• 3+ years of experience in data engineering, data science, or data analysis.
• Proven experience with large datasets and data processing tools (SQL, Python, Kafka).
• Strong understanding of data warehousing and data modeling concepts.
• Experience with agile development methodologies.
• Excellent analytical and problem-solving skills.
• Ability to work independently and in a team.
• Strong communication and collaboration skills; ability to drive meetings and actions.
• Applied experience with connected vehicle data.
• Knowledge of cloud-based data platforms (AWS, Azure, GCP) is a plus.

Responsibilities

• Support data product development decisions, identifying trends and opportunities to create high-value data assets.
• Collaborate within an agile team with analytics, data engineers, and stakeholders.
• Maintain cross-team partnerships for data governance and data quality.
• Communicate technical concepts to both technical and non-technical audiences.
• Prioritize work and contribute to quarterly planning with a roadmap.
• Ensure data products meet engineering and compliance standards.
• Monitor data quality and integrity across the product lifecycle.
• Track data source and product usage; support governance policies.
• Leverage market research and competitor analysis to inform strategy.
• Lead scope and complexity validation in cross-team projects.

Skills

SQL

Python

Kafka

Terraform

Data warehousing

Data modeling

Agile

Cloud platforms

Education

Bachelor's degree in CS / data science / statistics

Tools

AWS

Azure

GCP

Job description

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

In this position...

The Connected Vehicle Data Product Management Analyst is a key member of the Data Product Management Team. The Data Product Manager will drive strategic thinking for Ford’s Enterprise Data Platform (EDP) and will responsible for contributing to the development, implementation, and lifecycle management of high-quality reusable foundational data products, bringing in strategic sources for enterprise needs, and data capabilities.

This role involves close collaboration with Ford skill teams, Analytic, GDIA Connected Vehicle Data Engineering Teams, and other stakeholders to translate business needs into technical solutions. The Analyst will focus on specific aspects of the data product lifecycle as well as new opportunities to support prioritized Ford initiatives with data.

What you'll do...

• Support data product development decisions, identifying trends, patterns, synergies, and areas for improvement, while also identifying opportunities to combine existing data assets into new, high-value solutions for the enterprise.
• Work effectively within an agile team environment, collaborating closely with GDIA Analytics Teams, Enterprise Business Requestors, Data Engineers, and other stakeholders
• Continue strong partnerships across business, data sources, and engineering teams for cross-team collaboration
• Clearly communicate technical information to both technical and non-technical audiences
• Constantly apply prioritization principles across all work
• Actively contribute to quarterly planning by developing and maintaining a strategic, quarter-over-quarter roadmap. You will be a part of the team responsible for tracking delivery against this roadmap and reporting on the realized business value of completed work to stakeholders and leadership.
• Ensure Data products meet defined data engineering and compliance standards before release
• Ensure Data quality and integrity throughout the data product lifecycle
• Understand and support established data governance policies and procedures
• Routinely track data source and product usage
• Leverage market research and competitor analysis, providing insights to inform data product strategy
• Contribute to cross team project plans by leading efforts for validation of scope and complexity

You'll have...

• Bachelor's degree in computer science, data science, statistics, or a related field. At least 3 years of experience in data engineering, data science, data analysis
• Proven experience working with large datasets and data processing tools (e.g., SQL, Python, Kafka Streaming, terraform, etc.).
• Strong understanding of data warehousing and data modeling concepts.
• Experience with agile development methodologies.
• Excellent analytical and problem-solving skills.
• Ability to work independently and as part of a team
• Strong communication and collaboration skills.Ability to write effective agendas and run meetings that drive to decisions and critical follow up actions
• Applied experience with connected vehicle data
• Knowledge of cloud-based data platforms (e.g., AWS, Azure, GCP) (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 coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

This position is a salary grade 5 – salary grade 8and ranges from $68,300-$192,900.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

*Internal applicants: moving into this role may result in an adjustment to your current compensation based on the posted pay range for this role, taking into consideration your qualifications and other relevant factors.

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.

This position is hybrid with a requirement to be onsite four or more days per week. #LI-Hybrid#LI-MG1