Product Management Specialist at Honeywell, managing product lifecycles for safety technologies and delivering expert training programs.
About the role
- Data Engineering Manager leading analytics team for Ford's data ecosystem. Designing and maintaining data pipelines supporting AI and Software Engineering.
Responsibilities
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Product Manager at Emerson responsible for driving innovation and managing product lifecycle. Collaborate cross - functionally to develop new products and improve existing portfolio in the electrical utility market.
Product Owner managing individual customer payment card offerings in a leading bank in Poland. Collaborating with cross - functional teams to innovate and enhance customer experiences.
Head of Product leading a product roadmap impacting thousands of users daily in a health/fitness startup. Collaborating with a small accomplished team and reporting directly to the CEO.
Director of Product Delivery at RoadSync managing on - time product shipping. Collaborating with cross - functional teams to optimize product launch and operational cadence in the fintech space.
Senior People Technology Specialist advancing global Time Tracking and Absence Management solutions in Workday. Ensuring accurate payroll integration and compliance while collaborating with stakeholders.
Associate Director leading global labeling strategy at Johnson & Johnson, fostering innovations in healthcare. Collaborating on regulatory processes to enhance drug labeling quality.
Business Product Owner managing performance and demand planning for Johnson & Johnson's Innovative Medicine. Collaborating on planning functions to enhance healthcare solutions.
Business Product Owner responsible for performance management, demand planning, and integrated business planning at Johnson & Johnson. Contributing to healthcare innovation and the development of patient - centered solutions.
Associate Director leading global labeling strategy for pharmaceutical products at Johnson & Johnson. Collaborating with regulatory and clinical teams to ensure proper labeling and compliance in key markets.