Technical Program Manager

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 workstreams. 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.

Key Responsibilities

Program Leadership & Delivery

§ Lead planning, execution, and delivery of enterprise digital transformation initiatives, including AI/ML-driven Early Warning Systems and operational alerting platforms. 1

§ 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. 23

§ Identify risks, manage interdependencies, and lead root-cause resolution across complex operational and technical domains.

Digital Transformation Execution

§ Translate fragmented legacy processes (spreadsheets, manual analysis, isolated systems) into unified, scalable, digital workflows. 1

§ Orchestrate transformation from rule-based monitoring to predictive, AI-enabled anomaly detection platforms leveraging machine learning and adaptive thresholds. 1

§ Drive current-state vs. future-state process mapping to ensure alignment with Digital Transformation objectives. 3

§ Champion automation opportunities, workflow redesign, and new operating models that improve decision-making speed, accuracy, and predictability.

Technical Program Coordination

§ Work closely with data science teams to guide development of data pipelines, ML models, anomaly-detection logic, and recommendation systems. 2

§ Align business rules, alert severity logic, and operational thresholds with engineering and model design decisions. 3

§ Ensure seamless integration of APIs, data services, dashboards, and backend components across cloud platforms.

Stakeholder & Vendor Management

§ 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.

Quality, Testing & Operational Readiness

§ Oversee UAT planning, prioritization, and defect management to ensure solution stability and business validation. 3

§ 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 workstreams.

§ Strong command of agile delivery methodologies, program governance, roadmapping, and cross-functional coordination.

§ Experience delivering cloud-based analytics products, dashboards, or AI-enabled systems at scale.

Digital Transformation Expertise

§ 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.

Data, Analytics & ML Fluency

(Not as a practitioner, but as a technical orchestrator)

§ Familiarity with data engineering, ML model lifecycle, and platforms such as Databricks, Delta Lake, MLflow, and API-based scoring frameworks. 2

§ Ability to translate analytical insights and model outputs into meaningful operational actions, workflows, and decision support mechanisms.

Business & Requirements Leadership

§ Ability to define alert logic, rules, severity scoring, and routing criteria that align with operational priorities. 3

§ Expertise transforming business requirements into technical execution plans, user stories, and acceptance criteria.

Communication & Stakeholder Skills

§ Excellent executive communication, ability to simplify complexity, and talent for aligning diverse stakeholders toward a unified vision.