Data Platform Portfolio Manager

Harman Becker Automotive Systems Manufacturing Kft • Novi, MI

2d • Hybrid

About The Position

The Data Platform Portfolio Manager shapes demand, priorities, roadmaps, dependencies, capacity, and investment planning for HARMAN Automotive’s Enterprise Data Platform. Reporting to the Executive Director of Data and Analytics, the role works across business domains, data product teams, platform engineering, analytics, AI, architecture, security, and leadership to anticipate requirements and translate them into a coherent, sequenced portfolio.

The role owns the portfolio management discipline that enables effective platform decisions. It assesses and refines demand, identifies cross-domain dependencies, balances strategic capabilities with near-term needs, and maintains a forward-looking view of capacity and investment. It provides transparency and analysis to support the Data Platform Manager’s final roadmap, resource, and prioritization decisions. This is not a traditional PMO coordination position and does not involve hands-on platform engineering. It calls for commercial and technical understanding of modern data platforms, data products, cloud capabilities, delivery constraints, and operating models.

Requirements

• 7+ years of experience in technology portfolio management, product management, data or technology strategy, enterprise technology delivery, or a related discipline.
• Proven experience managing complex technology portfolios with competing priorities, significant dependencies, multiple stakeholder groups, and constrained engineering or delivery capacity.
• Strong understanding of modern data-platform concepts, including cloud platforms, data engineering, governed data products, analytics, AI/ML, data governance, platform services, and self-service operating models.
• Demonstrated experience developing roadmaps and using structured approaches to demand management, backlog prioritization, dependency management, capacity planning, sequencing, and value realization.
• Strong business and technology judgment, including the ability to challenge requests constructively, identify underlying needs, assess relative value, and distinguish strategic requirements from lower-priority demand.
• Experience working across business stakeholders, engineering, architecture, cybersecurity, finance, procurement, vendors, and senior technology leadership.
• Strong communication and presentation skills, including the ability to explain complex priorities, constraints, trade-offs, risks, and recommendations to technical and non-technical audiences.
• Experience with agile or product-oriented delivery models and portfolio or backlog management tools such as Jira, Azure DevOps, or comparable platforms.
• Willingness to travel if necessary.
• Successfully complete a background investigation and drug screen as a condition of employment.
• Because this is a hybrid role, commute to the Novi office each week.

Nice To Haves

• Experience with Microsoft Azure, Databricks, or comparable enterprise-scale cloud data platforms.
• Experience in a federated or hub-and-spoke data organization, including shared platform services and domain-owned data products.
• Experience supporting technology investment planning, budgeting, vendor planning, commercial assessments, or business-case development.
• Experience measuring platform adoption, technology investment outcomes, reuse, cost efficiency, or other forms of value realization.
• Experience supporting data-platform modernization, technology rationalization, or transitions from legacy analytics and data platforms in a global organization.
• Living near Novi, Michigan is ideal.

Responsibilities

• Own the platform demand and portfolio planning process, consolidating current demand, emerging needs, strategic opportunities, and upcoming platform requirements.
• Engage business domains, data product teams, analytics, AI/ML, architecture, governance, security, and technology leaders to identify future requirements, dependencies, constraints, and opportunities for reuse.
• Translate priorities into a sequenced platform roadmap and backlog, balancing strategic capabilities, technical improvements, onboarding needs, regulatory or risk requirements, and near-term business demand.
• Manage intake, prioritization, sequencing, dependencies, and capacity planning across the portfolio in partnership with the Data Platform Manager, Platform Engineers, and Data Platform Reliability Engineers.
• Apply prioritization and investment criteria, challenge lower-value or unclear requests constructively, and make trade-offs visible to stakeholders and decision-makers.
• Support the hub-and-spoke data operating model by helping determine whether capabilities should be developed centrally, reused from the platform, federated to domains, adopted as common services, or delivered within individual domains and data product teams.
• Coordinate domain onboarding demand and clarify platform and domain responsibilities, prerequisites, dependencies, and expected adoption before work enters the committed roadmap.
• Maintain portfolio transparency across initiatives, milestones, capacity, dependencies, risks, decisions, expected outcomes, and material changes in demand; provide recommendations and trade-off views to the Data Platform Manager and senior stakeholders.
• Maintain a forward-looking portfolio view spanning data engineering, governed data products, analytics, AI/ML, governance, security, self-service capabilities, platform reliability, operational improvements, and other required platform capabilities.
• Partner with the Data Platform Manager on investment planning, including business cases, funding requirements, resource scenarios, vendor considerations, licensing or consumption implications, and investment recommendations.
• Track value realization from platform investments, including adoption, reuse, business outcomes, engineering efficiency, cost avoidance, platform utilization, and reduction of operational and technology risk.
• Support portfolio planning for legacy technology transition, including Snowflake and Qlik rationalization, by identifying demand, sequencing dependencies, platform readiness, and competing priorities; the role does not own the migrations.
• Improve portfolio management practices, including roadmap governance, prioritization methods, demand forecasting, capacity views, portfolio metrics, backlog quality, and information quality for investment and prioritization decisions.

Benefits

• Employee discounts on HARMAN products, including JBL, HARMAN Kardon, and AKG.
• Extensive training opportunities through HARMAN University.
• Competitive wellness benefits.
• Tuition reimbursement.
• “Be Brilliant” employee recognition and rewards program.
• An inclusive and diverse work environment that fosters professional and personal development.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed