Key Responsibilities:
- Strategic Leadership
- Define the vision and strategic roadmap for manufacturing data products in alignment with enterprise data strategy and platform capabilities.
- Establish consistent standards for product management, backlog prioritization, and value measurement.
- Identify opportunities for technology-driven improvements and innovations within the supply chain.
- Partner with Data Platform and Architecture teams to ensure data products are scalable, secure, and interoperable across domains.
- Translate enterprise priorities into clear, actionable domain product roadmaps that balance innovation, compliance, and technical sustainability.
- Portfolio & Delivery Management
- Oversee the data product portfolio: lifecycle management, investment planning, and roadmap execution.
- Prioritize across domains based on business value, readiness, and capacity – using intake, ITOC, and BRM processes for governance and alignment.
- Ensure product roadmaps integrate with the broader Data Platform 2.0 architecture (Bronze/Silver/Gold, Iceberg/S3, Glue, Lake Formation, Snowflake, Power BI).
- Track KPIs: adoption rate, data product usage, cost per TB, cycle time, and ROI metrics.
- Drive cross-domain collaboration and dependency management to maximize reuse and avoid duplication of effort.
- Governance & Enablement
- Embed governance and AI risk reviews into product lifecycle.
- Ensure adherence to data quality, metadata, lineage, and FinOps standards.
- Partner with the Security and Risk teams to ensure all products meet global regulatory and compliance requirements.
- Advocate for product reusability, domain ownership, and self-service enablement.
- Stakeholder Engagement
- Build strong relationships with Enterprise Supply Chain domain leaders and IT counterparts to align priorities and outcomes.
- Represent the manufacturing data product portfolio at executive steering committees and enterprise planning sessions.
- Communicate the business impact of data investments in measurable terms – connecting analytics outcomes to operational and financial KPIs.
- Serve as an evangelist for data as a product, driving awareness and adoption across the enterprise.
Skills: Skills Required:
8–12+ years of experience in data product management, data strategy, or analytics leadership, with a focus on supporting supply chain operations within a global manufacturing or industrial enterprise.
- Proven experience leading teams of product owners, analysts, or engineers.
- Deep understanding of data product management principles, domain ownership, and data mesh concepts.
- Strong grasp of modern cloud data platforms and toolsets (AWS, Snowflake, Databricks, Glue, Lake Formation, Power BI, dbt).
- Familiarity with FinOps, AI Risk, and Data Governance frameworks.
- Demonstrated ability to translate business strategies into technical data solutions and measurable value delivery.
- Skilled communicator able to influence senior business and technical leaders in a matrixed global organization.
- Experience in agile methodologies (Scrum, Kanban, SAFE) with hands-on product delivery oversight.
- Strong problem-solving skills and the ability to think strategically and analytically.
Master's degree in Supply Chain Management, Engineering, Data Science, Business, or a related field.
A Master's degree or MBA is preferred.
70-75/HR
Top Skills
What We Do
For 25 years, Lawinger Consulting, Inc., has provided innovative IT solutions to help our clients thrive
• Our clients range from Fortune 500 companies (General Mills, 3M, Lifetouch, Medtronic, State of Minnesota & others) seeking global team partnerships to small businesses requiring inexpensive, low-maintenance solutions.
We provide Staffing Services in the following areas:
• Managed Services - supporting applications on a wide variety of platforms
• Custom Application Development in.NET / Java / Javascript / Ruby on Rails
• Business Analysis / Project Management
• Quality Assurance / Software Testing - Manual and Automated approaches
• Our industries include manufacturing, financial services, government and nonprofits.
• Our hardware engineers are experts in configuring systems on Windows, Unix, Linux and mainframe platforms.
Why do so many clients work with LCI?
• We listen to our clients needs
• We analyze their applications and infrastructure to understand their current state
• Based on that analysis, we offer creative, effective IT solutions
• We understand the importance of cost containment
• We approach every client with the intent on building a long-term relationship
