Director, Product Management - IT Data Solutions

Lineage Logistics•Detroit, MI

3d•Remote

About The Position

Lineage is seeking a Director of Product Management to lead its Data Solutions portfolio. This portfolio includes central data repositories, the proprietary KPI and performance management platform 'metricsOne', and enterprise reporting and analytics products. These products are crucial for decision-making across all company functions and regions, forming the data foundation for Lineage's analytics and AI initiatives. The role involves taking ownership of an established team and product portfolio, driving strategy, enhancing product quality and adoption, evolving the platform for advanced analytics and AI, and ensuring business trust in the delivered data. The position operates at the intersection of product, data engineering, data science, and business functions.

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 — e.g., data platforms, enterprise reporting, KPI/dashboarding tools, or data-as-a-product initiatives — at enterprise scale.
Strong technical acumen with modern cloud data platforms (e.g., Snowflake or equivalent), BI and visualization tools, and the fundamentals of data modeling, pipelines, and governance; able to engage credibly with engineers and data scientists.
Proven ability to inherit an existing product portfolio and team, quickly build credibility, and drive a step-change in strategy, execution, and outcomes.
Excellent verbal and written communication skills, including the ability to convey complex data concepts to non-technical audiences and to influence stakeholders at every level, including the C-suite.
Proven ability to lead change in large, complex, global organizations, and comfort operating 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 to support 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 (JIRA, Confluence) and analytical tools (SQL, Excel).
Experience working with geographically distributed teams and third-party development partners.

Responsibilities

Own the multi-year vision, strategy, and roadmap for Lineage’s Data Solutions portfolio, spanning central data repositories, enterprise reporting, KPI and performance management tools, and analytics products.
Lead, coach, and develop an existing team of product managers and business analysts; set clear priorities, raise the standard of product craft, and build a healthy pipeline of talent.
Treat the data platform as a product: define and prioritize the capabilities, data domains, and quality standards to serve both today’s reporting needs and emerging analytics and AI use cases.
Partner with data engineering, data science, and enterprise architecture to align platform investment with product strategy, balancing new capability delivery against reliability, scalability, and technical debt.
Champion data trust across the enterprise — partner with data governance, finance, and operations stakeholders to ensure consistent definitions, certified metrics, and a single source of truth for business-critical reporting.
Drive adoption and measurable business impact: establish success metrics for the portfolio, instrument usage, retire low-value assets, and hold the team accountable for outcomes rather than output.
Engage stakeholders from frontline warehouse leaders to the C-suite to understand decision-making needs, translate them into product requirements, and communicate the “why” behind roadmap choices.
Coordinate with product leaders across the technology organization to align roadmaps, share data capabilities, and ensure cohesive execution across interconnected products.
Facilitate annual and quarterly planning for the portfolio, making transparent trade-offs across value, scope, budget, resources, dependencies, and timelines.
Manage relationships with third-party development teams and technology vendors that contribute to the portfolio, ensuring quality and value for investment.