Agile Delivery Manager - Data

Required Skills & Experience

7+ years of experience as a Delivery Manager, Technical Program Manager, Engineering Manager, or similar technical delivery role. Strong, demonstrated experience in Agile technical product delivery. Demonstrated experience supporting a data engineering, data platform, or enterprise data modernization effort. Experience coordinating delivery across multidisciplinary teams such as data engineering, data architecture, integration, product, and business stakeholders. Extensive experience in resource management and headcount planning within a project delivery context. Demonstrated experience using data-driven decision-making to track project performance, identify areas for improvement, and enhance team productivity. Hands-on experience with the OKR (Objectives and Key Results) framework. Strong interpersonal, stakeholder management, and communication skills. Bachelor’s degree in a relevant field. Equivalent professional experience may be substituted on a year-for-year basis.

Nice to Have Skills & Experience

Experience implementing Informatica, particularly as part of a consulting effort around enterprise data modernization, data integration, or master data management. Experience managing data platforms, data products, or AI/ML products and teams. Active Project Management Professional (PMP) certification. Previous experience in client/customer delivery. Previous experience in Agile Coaching.

Job Description

Insight Global is seeking an Agile Delivery Manager to join a large-scale data modernization and engineering project currently underway as part of a comprehensive behavioral health modernization effort. This project is being led by one of the top technology consulting firms and focuses on modernizing enterprise data capabilities, improving data integration and management, and delivering scalable data solutions to support broader program objectives.

This individual will be responsible for ensuring the successful delivery of program goals through coordination with cross-functional data, engineering, product, and business teams, timeline management, resource and risk management, and fostering a collaborative environment. They will continuously identify friction, simplify workflows, resolve dependencies, ensure release readiness, track metrics, communicate progress to stakeholders, and accelerate momentum across the program.

The ideal candidate will have demonstrated experience supporting complex technical delivery efforts, particularly within data modernization or data engineering environments, and will be able to align Agile delivery processes with broader organizational and modernization objectives.

Additional responsibilities include:

Support the delivery of a large-scale data modernization and data engineering initiative, coordinating across data engineering, architecture, integration, product, and business teams. Drive delivery activities associated with modernizing legacy data environments, developing scalable data pipelines and integrations, improving data quality and governance, and enabling modern enterprise data capabilities. Define program goals, manage cross-team dependencies, and align stakeholders to ensure successful delivery of technical and data products. Champion Agile methodologies, including Scrum and Kanban, facilitate ceremonies such as stand-ups, sprint planning, and retrospectives, and drive continuous improvement across teams. Identify, track, and mitigate risks or blockers that could impact program timelines, quality, or scope. Serve as the primary communication bridge between engineering, data, product, and business teams, providing clear updates on progress, priorities, dependencies, and changes. Monitor key performance indicators (KPIs), track program health, and deliver regular status reports to leadership and stakeholders. Work with teams to proactively identify waste, process improvements, and opportunities to improve delivery performance. Facilitate Product and Engineering meetings, including Team of Teams sessions, to empower teams to raise risks and collaboratively develop solutions to impediments and challenges. Ensure improvements are iterative and measured through sustained, compounded gains rather than one-time efforts. Work with stakeholders, Agile Coaches, and Centers of Excellence to provide visibility and transparency into initiatives designed to increase overall performance. Facilitate successful staffing and onboarding to ensure new resources are onboarded and effective promptly. Collaborate with Product Managers and Product Owners to ensure the planning process is continuous. Schedule and facilitate OKR planning sessions, retrospective evaluations, and progress check-ins.