Senior Technical Project Manager- Data Engineering

Responsible for the planning, coordination, requirements gathering, business analysis, specifications development, project planning, project monitoring, and project status reporting and system implementation of moderate to complex business solutions. Project Management Professional (PMP) certification is required and should be noted on the resume. Proof of certification may be requested.

This role supports a Technical Project Manager for a data engineering project with an AI adoption program. The position involves managing cross-functional coordination, tracking deliverables, supporting platform and data engineering initiatives, and ensuring alignment between business, engineering, and AI stakeholders. Familiarity with cloud platforms, data pipelines, and AI/ML adoption efforts is highly desirable, along with strong communication and organizational skills.

II. CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements:

Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

10

Required

Experience leading technical projects or programs in data, analytics, and cloud environments.

10

Required

Experience leading data architecture, data modeling, and data warehousing initiatives from planning through delivery.

10

Required

Proven ability to manage business intelligence, big data, and analytics projects in complex enterprise environments.

10

Required

Experience supporting healthcare data initiatives; familiarity with standards such as FHIR, CCDA, and HL7 is a plus.

10

Required

Working knowledge of SQL and database technologies to support project planning, estimation, and issue resolution.

10

Required

Strong communication skills with the ability to translate complex technical concepts for business and executive audiences.

10

Required

Proven leadership skills managing cross-functional teams, vendors, and complex project timelines.

10

Required

Strong collaboration skills to work effectively with data engineers, developers, analysts, and business partners.

10

Required

Experience defining project scope, objectives, milestones, timelines, and success metrics.

10

Required

Experience with project budgeting, forecasting, resource planning, and financial status reporting.

10

Required

Proficiency with project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet.

10

Required

Strong documentation skills for project plans, charters, schedules, and lessons learned.

10

Required

Working knowledge of cloud platforms, data systems, or enterprise applications.

10

Required

Proactive leadership style with strong attention to detail and ability to work independently.

8

Preferred

Familiarity with healthcare or other regulated environments, including compliance, security, and data governance concepts.

8

Preferred

PMP, PgMP, PMI‑ACP, SAFe, or similar project management certification preferred.

8

Preferred

Healthcare industry experience preferred.

8

Preferred

Fundamental understanding of information management principles, IT processes, SDLC, architecture, and enterprise technologies.

8

Preferred

Strong consulting and facilitation skills.

8

Preferred

Customer-focused communication skills with the ability to engage all levels of the organization.

8

Preferred

Proactive leadership style with strong attention to detail and ability to work independently.

3

Preferred

Experience supporting AI, advanced analytics, or digital transformation initiatives at the program or project level.

3

Preferred

TOGAF, Cloud Solution Architecture, or Azure/AWS/GCP certifications preferred