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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager - **Company:** HKA Enterprises - **Location:** Farmington, CT, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, Spreadsheets, Data as a Services, Information Engineering, Decision Support Systems, Machine Learning, Recommender Systems, Technical Data Management Systems, Workflow Management Systems, Backend, Data Lakes, Data Analytics, Machine Learning Operations, Api Design, Data Pipelines, Databricks - **Published:** July 8, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9017859/technical-program-manager ## About the Role § 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. ## Description 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. ## Related Videos - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)