What are the responsibilities and job description for the Technical Project Manager position at Cogent Data Solutions Llc?
Title: Technical Project Manager
Location: Austin, Texas
Work Type: Hybrid
Job Type: Contract
Key Responsibilities:
- Lead planning, coordination, execution, and delivery of moderate to complex technical projects and programs.
- Manage project scope, timelines, milestones, budgets, risks, dependencies, and deliverables across multiple workstreams.
- Support data engineering, analytics, cloud, and AI adoption initiatives within enterprise environments.
- Coordinate activities across business stakeholders, architects, engineers, analysts, vendors, and leadership teams.
- Facilitate requirements gathering, business analysis, project planning, status reporting, and implementation activities.
- Develop and maintain project documentation including charters, schedules, RAID logs, resource plans, and executive status reports.
- Drive collaboration between business and technical teams to ensure successful delivery outcomes.
- Monitor project progress and proactively identify risks, blockers, and mitigation strategies.
- Support initiatives involving data architecture, data modeling, data warehousing, business intelligence, and advanced analytics.
- Translate technical concepts into business-friendly communication for executive and operational stakeholders.
- Assist with governance, compliance, security, and data management coordination within regulated environments.
- Support enterprise AI, digital transformation, and cloud modernization efforts.
- Ensure alignment with SDLC processes, enterprise architecture standards, and organizational delivery frameworks.
- 8 years of experience managing technical projects or enterprise programs.
- PMP certification required; certification should be clearly listed on the resume. Proof of certification may be requested.
- Experience leading projects involving data engineering, analytics, cloud technologies, or enterprise platforms.
- Strong experience managing data architecture, data modeling, and data warehousing initiatives from planning through delivery.
- Experience supporting business intelligence, big data, analytics, or digital transformation programs.
- Familiarity with AI/ML adoption initiatives, advanced analytics programs, or enterprise AI enablement efforts.
- Working knowledge of SQL, databases, and data systems to support project estimation, issue resolution, and planning activities.
- Experience working in cloud-based environments including Azure, AWS, or Google Cloud Platform.
- Strong understanding of SDLC, enterprise applications, IT processes, architecture, and information management principles.
- Excellent communication, facilitation, and stakeholder management skills with the ability to engage technical and executive audiences.
- Proven ability to manage cross-functional teams, vendors, and complex enterprise project timelines.
- Strong organizational skills with the ability to work independently and manage multiple concurrent initiatives.
- Experience using project management and collaboration tools such as Jira, Azure DevOps, MS Project, or Smartsheet.
- Strong documentation skills including project plans, schedules, status reporting, lessons learned, and governance artifacts.
- Familiarity with regulated environments, including security, compliance, and data governance concepts.
- Healthcare industry experience is preferred.
- Familiarity with healthcare interoperability standards such as FHIR, HL7, or CCDA is a plus.
- Additional certifications such as PgMP, PMI-ACP, SAFe, TOGAF, Cloud Solution Architecture, or Azure/AWS/Google Cloud Platform certifications are highly desirable.