Data Platform Portfolio Manager

Harman•Novi, MI

2d•$108,750 - $159,500•Hybrid

About The Position

The Data Platform Portfolio Manager shapes demand, priorities, roadmap, 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 needs and translate them into a coherent, sequenced platform portfolio. The role owns the portfolio management discipline that supports platform decisions, including understanding and refining demand, identifying cross-domain dependencies, balancing strategic capabilities with near-term needs, and maintaining a forward-looking view of capacity and investment. It provides the transparency and analysis needed by the Data Platform Manager to make final roadmap, resource, and prioritization decisions. This is not a traditional PMO coordination role and does not involve hands-on platform engineering; it requires commercial and technical depth to understand modern data platforms, data products, cloud capabilities, delivery constraints, and operating-model choices.

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 applying 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, with the ability to make complex priorities, constraints, trade-offs, risks, and recommendations clear to technical and non-technical audiences.
Experience working with agile or product-oriented delivery models and portfolio/backlog management tools such as Jira, Azure DevOps, or comparable platforms.
Willingness to travel if necessary.
Ability to successfully complete a background investigation and drug screen as a condition of employment.

Nice To Haves

Experience with Microsoft Azure, Databricks, or comparable enterprise-scale cloud data platforms.
Experience within 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.

Responsibilities

Own platform demand and portfolio planning, 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 reuse opportunities.
Translate priorities into a sequenced platform roadmap and backlog, balancing strategic platform 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, working with the Data Platform Manager, Platform Engineers, and Data Platform Reliability Engineers to develop realistic portfolio options.
Apply prioritization and investment criteria, constructively challenge demand, 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 domain and data product teams.
Coordinate domain onboarding demand, clarifying platform and domain responsibilities, prerequisites, dependencies, and adoption expectations before work enters the committed roadmap.
Maintain transparency across initiatives, milestones, capacity, dependencies, risks, decisions, expected outcomes, and material demand changes; 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 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 reduced operational or technology risk.
Support portfolio planning for legacy technology transition, including Snowflake and Qlik rationalization where relevant, by identifying demand, sequencing dependencies, platform readiness, and competing priorities; migrations themselves are not owned by this role.
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 products including JBL, HARMAN Kardon, and AKG.
Extensive training opportunities through HARMAN University.
Competitive wellness benefits.
Tuition reimbursement.
Employee recognition and rewards program.
Inclusive and diverse work environment that encourages professional and personal development.
Paid vacation and holidays.
Paid sick leave.
Volunteer leave.
Paid bonding and caregiver leave.
Comprehensive medical, dental, and vision plans may be available.
Fertility support and adoption assistance may be available.
Health Savings and Flexible Spending Accounts may be available.
Retirement savings plan with employer match may be available.
Short- and long-term disability coverage may be available.
Life insurance may be available.