Director, Product Management - CDA & AI

Lineage•Novi, MI

About The Position

Lineage is seeking a Director of Product Management to lead its Data Solutions portfolio, including central data repositories, enterprise reporting, analytics products, and metricsOne, its KPI and performance management platform. These products serve as a source of truth and support decision-making across functions and regions, from warehouse operations to executive leadership, while providing a foundation for analytics and AI initiatives. The director will own the portfolio’s multi-year strategy and roadmap, lead and develop an established team of product managers and business analysts, and improve product quality, adoption, data trust, and measurable business outcomes. The role works at the intersection of product management, data engineering, data science, enterprise architecture, and business functions. It includes preparing the platform for advanced analytics and AI-driven capabilities, aligning investment with reliability and scalability needs, and managing stakeholder relationships and third-party contributors. Travel may be required up to 10% of the time.

Requirements

10+ years of product management experience, including 3+ years directly managing and developing product managers.
Demonstrated success owning data, analytics, or business intelligence products at enterprise scale, such as data platforms, enterprise reporting, KPI/dashboarding tools, or data-as-a-product initiatives.
Strong technical acumen with modern cloud data platforms such as Snowflake or equivalent, BI and visualization tools, and fundamentals of data modeling, pipelines, and governance.
Ability to engage credibly with engineers and data scientists.
Proven ability to inherit an existing product portfolio and team, quickly build credibility, and drive significant improvements in strategy, execution, and outcomes.
Excellent verbal and written communication skills, including conveying complex data concepts to non-technical audiences and influencing stakeholders at all levels, including the C-suite.
Proven ability to lead change in large, complex, global organizations and operate in a fast-paced, highly visible environment.
Ability to travel up to 10% of the time.

Nice To Haves

Experience delivering AI/ML-enabled product capabilities or preparing data platforms for machine learning and generative AI use cases.
Experience in logistics, supply chain, or other operationally intensive industries; warehouse operations exposure is a plus.
Experience with enterprise information management domains such as financial, operational, HR, or ESG reporting.
Familiarity with Atlassian tools such as JIRA and Confluence, and analytical tools such as SQL and Excel.
Experience working with geographically distributed teams and third-party development partners.

Responsibilities

Own the multi-year vision, strategy, and roadmap for the Data Solutions portfolio, including central data repositories, enterprise reporting, KPI and performance management tools, and analytics products.
Lead, coach, and develop product managers and business analysts; set priorities, improve product craft, and develop talent.
Treat the data platform as a product by defining and prioritizing capabilities, data domains, and quality standards for reporting, analytics, and AI use cases.
Partner with data engineering, data science, and enterprise architecture to align platform investments with product strategy and balance capability delivery with reliability, scalability, and technical debt.
Work with data governance, finance, and operations stakeholders to establish consistent definitions, certified metrics, and a trusted source of truth for business-critical reporting.
Drive adoption and measurable business impact by defining portfolio success metrics, instrumenting usage, retiring low-value assets, and holding the team accountable for outcomes.
Engage stakeholders from warehouse leaders to the C-suite to understand decision-making needs, translate them into product requirements, and explain roadmap choices.
Coordinate with product leaders across the technology organization to align roadmaps, share data capabilities, and support cohesive execution.
Facilitate annual and quarterly portfolio planning, making trade-offs across value, scope, budget, resources, dependencies, and timelines.
Manage third-party development teams and technology vendor relationships, ensuring quality and value for investment.