Manager, Data Product Management
Ford Motor Company
full-time
Posted on:
Location Type: Hybrid
Location: Chennai • India
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About the role
- Lead, mentor, and develop a high-performing team of local and remote Portfolio Data Engineers, fostering a culture of collaboration, innovation, and continuous improvement.
- Strategically prioritize and manage team workloads, ensuring effective task allocation and resource capacity to support team goals.
- Provide expert technical guidance and mentorship, ensuring adherence to best practices, coding standards, and architectural guidelines.
- Act as the Chief Data Technical Anchor for the PLMA domain, resolving critical incidents through Root Cause Analysis (RCA) and implementing permanent, resilient architectural fixes.
- Oversee the design, development, maintenance, scalability, reliability, and performance of data platform pipelines, aligning them with business needs and strategic objectives.
- Contribute to the long-term strategic direction of the Data Platform by proactively identifying opportunities for best practice adoption and standardization.
- Champion data quality, governance, and security standards, ensuring compliance and safeguarding sensitive data assets.
- Enhance efficiency and reduce redundancy by consolidating common tasks across teams.
- Effectively communicate decisions to stakeholders, building strong relationships and ensuring alignment on data initiatives.
- Maintain awareness of industry trends and emerging technologies to inform technical decisions.
- Lead the implementation of customer requests into data assets, ensuring optimized design and code development.
- Guide the team in delivering scalable, robust data solutions and contribute hands-on to critical projects, including design and code reviews.
- Lead technical decisions that drive data innovation and resilience.
- Demonstrate full stack cloud data engineering expertise, covering automation, versioning, ingestion, integration, transformation, optimization, and data modeling.
- Engage in agile planning, including scope, work breakdown structure, as well as roadblock resolution.
- Design solutions for cost and consumption optimization, scalability, and performance.
- Collaborate with Data Architecture and stakeholders on solution design, data consolidation, retention, purpose of use, compliance, and audit requirements.
- Drive engineering excellence by establishing and monitoring SWE-centric quality metrics (including DORA metrics and P99 latency targets).
Requirements
- Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field.
- 8+ years of experience in complex data environments, demonstrating increased responsibilities and achievements.
- Expertise in programming languages such as Python or Scala, and strong SQL skills.
- Experience with ETL/ELT processes, data warehousing, and data modeling.
- Experience with CI/CD pipelines, Docker, Git/Gerrit, and experience designing resilient deployment strategies and sophisticated release management.
- Familiarity of data governance, privacy, quality, and monitoring.
- Proven experience in implementing sophisticated testing strategies, driving quality tool adoption, establishing comprehensive code review processes, and setting observability standards with advanced monitoring and proactive alerting.
- 5+ years of experience within the automotive industry or related product development environments and product lifecycle management.
- 5+ years of experience in leading software or data engineering teams, with a focus on team development and project success.
- 5+ years of experience in Big Data environments or expertise with Big Data tools, including data processing frameworks and data modeling.
- In-depth knowledge and practical experience with Google Cloud Platform services.
- Proven experience in monitoring and optimizing costs and compute resources in hyperscaler platforms.
- Significant experience leveraging Generative AI and LLMs to optimize data engineering workflows (e.g., automated code generation, documentation, or metadata management).
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonScalaSQLETLELTdata warehousingdata modelingCI/CDDockerBig Data
Soft Skills
leadershipmentorshipcollaborationcommunicationstrategic planningproblem-solvinginnovationcontinuous improvementrelationship buildingteam development
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Information TechnologyBachelor's degree in Information SystemsBachelor's degree in Data Analytics