Note: The job is a remote job and is open to candidates in USA. Alpine Solutions Group is seeking a Data Product Manager to lead the development and delivery of high-impact data products for supply chain operations. The role owns prioritization, roadmap development, agile delivery, and collaboration with engineering, analytics, distribution, transportation, planning, and business stakeholders to create governed data capabilities and production-ready AI/ML solutions.
Responsibilities
- Own the end-to-end prioritization and delivery of data products supporting distribution center operations, transportation, and planning & allocation
- Partner with Supply Chain Product managers, business and analytics to surface high-value data opportunities and convert them into scalable capabilities
- Define and drive the supply chain data product roadmap — bringing a value lens to every prioritization decision: what improves in-stock performance, reduces cost, minimizes waste, increases end-to-end visibility and increases user value of data
- Play product role in delivery in an agile model — managing in-take and prioritization, partnering with engineering on delivery, holding the team to outcomes over activity and maintaining strong comms and relationships with business stakeholders
- Balance speed with scalability — move fast to prove value on priority use cases (e.g., exception alerts, dwell time reporting, self-service insights), then harden successful capabilities into reusable, production-grade assets on the Enterprise Data Platform (EDP)
- Drive decisions in distribution centers — inventory levels, case/pallet lifecycle, labor productivity, and DC-to-club in-stock visibility
- Enable transportation and logistics intelligence — inbound/outbound carrier movement, freight cost management, and vendor/carrier scorecarding
- Support planning and allocation — demand forecasting, assortment and item cluster performance, and end-of-life/salvage optimization
- Bring AI and ML into production — demand forecasting, exception detection, anomaly alerts, and recommendation logic that operate at scale in a Databricks environment
- Establish the data foundation — a consolidated supply chain data model on the Enterprise Data Platform (EDP), with data quality, governance, and RBAC/persona-based access built in
- Enable agile teams to experiment fast and operationalize wins — converting analytical pilots into reusable, production-ready data products
- Improve the speed and quality of operational decisions by making trusted, well-governed data assets widely available and actionable
Skills
- Direct experience in supply chain, logistics, or distribution operations — ideally in retail or wholesale, touching DC operations, transportation, or planning and allocation
- Deep understanding of what drives supply chain value: service levels, in-stock performance, cost to serve, and inventory efficiency
- Familiarity with supply chain systems and data sources (WMS, TMS, SAP) and the operational KPIs that matter to DC, transportation, and planning teams
- Proven track record of defining, prioritizing, and delivering data products — not just analytical outputs, but reusable, governed data capabilities that engineering teams build and business teams adopt
- Strong hands-on experience with Databricks/modern Data Platforms — enough to have informed conversations with data engineers, review data models, and push for the right architectural decisions
- Familiarity with modern data Lakehouse patterns, consolidated data modeling across fragmented source systems, and ML pipeline infrastructure
- Ability to define requirements for data models, APIs, and datasets
- Experience taking ML models from experimentation into production deployment, with a focus on supply chain or merchandising applications (forecasting, exception detection, optimization)
- Practical knowledge of model governance, feature engineering, monitoring, and retraining cycles
- Ability to evaluate where AI creates real lift for the business and where simpler heuristics or rules-based alerts are the right answer
- Strong agile product management instincts — backlog prioritization, sprint planning, writing clear user stories, and holding teams accountable to outcomes
- Ability to operate effectively in ambiguity; without waiting for perfect requirements
- Track record of making hard tradeoff calls to accelerate delivery and value realization
- Comfortable navigating large organizations and cross-functional stakeholders (DC operations, transportation, planning, merchandising) - aligning priorities, communicating progress, and escalating blockers transparently
Benefits
- Remote work is fine during the contract period.
- This position includes benefits.
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