Technical Program Manager

Must be a US Citizen
This is a Hybrid Role

Technical Program Manager — Digital Transformation & AI‑Enabled Operations

The Technical Program Manager (TPM) will lead large‑scale digital transformation initiatives focused on modernizing operational visibility, predictive analytics, and enterprise workflow automation across MRO, supply chain, and planning ecosystems. This role oversees end‑to‑end delivery of complex, multi‑stakeholder programs including AI/ML‑enabled alerting platforms, integrated data pipelines, cloud‑based dashboards, and workflow optimization tools.

The TPM acts as the connective tissue between engineering, data science, business operations, and leadership—ensuring alignment, removing ambiguity, and driving predictable execution across all program work streams. The ideal candidate has deep experience leading digital transformations in data‑rich operational environments, orchestrating AI‑enabled products, and maturing organizations from manual, fragmented processes to fully integrated, predictive digital ecosystems.

• Lead planning, execution, and delivery of enterprise digital transformation initiatives, including AI/ML‑driven Early Warning Systems and operational alerting platforms.
• Establish program roadmaps, milestones, and governance structures across engineering, data, business, and vendor partners.
• Drive cross‑functional alignment, ensuring technical implementation meets business intent, operational workflows, and enterprise architecture standards.
• Coordinate multiple agile development teams with iterative cycles, demos, and continuous stakeholder validation.
• Identify risks, manage interdependencies, and lead root‑cause resolution across complex operational and technical domains.

• Translate fragmented legacy processes (spreadsheets, manual analysis, isolated systems) into unified, scalable, digital workflows.
• Orchestrate transformation from rule‑based monitoring to predictive, AI‑enabled anomaly detection platforms leveraging machine learning and adaptive thresholds.
• Drive current‑state vs. future‑state process mapping to ensure alignment with Digital Transformation objectives.
• Champion automation opportunities, workflow redesign, and new operating models that improve decision‑making speed, accuracy, and predictability.

• Work closely with data science teams to guide development of data pipelines, ML models, anomaly‑detection logic, and recommendation systems.
• Align business rules, alert severity logic, and operational thresholds with engineering and model design decisions.
• Ensure seamless integration of APIs, data services, dashboards, and backend components across cloud platforms.
• Act as the primary interface between operational SMEs, supply chain leaders, engineering teams, and external partners.
• Lead vendor engagement to ensure delivery of capabilities across MRP, planning, AI/ML, and supply chain domains as described in the enterprise Early Warning System roadmap.
• Facilitate workshops, alignment sessions, and executive briefings with clear storytelling and impact‑driven communication.

• Oversee UAT planning, prioritization, and defect management to ensure solution stability and business validation.
• Drive operational readiness, training, change management, and transition‑to‑sustainment activities.
• Establish performance metrics, monitoring frameworks, and continuous improvement cycles for AI/ML models and associated workflows.

• Proven track record leading enterprise digital transformation programs with multiple parallel technical work streams.
• Strong command of agile delivery methodologies, program governance, road mapping, and cross‑functional coordination.
• Experience delivering cloud‑based analytics products, dashboards, or AI‑enabled systems at scale.

• Experience modernizing operational ecosystems from manual processes to automated, data‑driven, predictive workflows.
• Deep understanding of MRO, supply chain, planning, or manufacturing data flows, KPIs, and exception logic.

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