Technical Project Manager (Data Science)

Responsibilities

• Lead cross-functional Data Science projects from initiation to implementation and operational transition utilizing various methodologies.
• Develop project artifacts including charters, schedules, budgets, status reports, and risk registers.
• Drive accountability across technical teams, vendors, and business stakeholders.
• Serve as primary liaison between business owners, Data Science teams, and vendors.
• Facilitate project meetings, executive updates, and decision-making forums.
• Communicate project status, risks, and mitigation plans to leadership and executives.
• Proactively manage risks, issues, dependencies, and change requests.
• Ensure project objectives align with business outcomes and enterprise technology strategy.
• Partner with enterprise architects, infrastructure, and data science teams to ensure compliance with standards.
• Translate technical concepts into business-focused communication for executives and non-technical stakeholders.
• Oversee vendor deliverables, SOWs, and integration activities.

Qualifications

• Relevant degree preferred in Computer Science, Information Systems, Engineering, Business, or related field.
• 2 or more years of relevant experience with IT/Data Science project management and demonstrated success leading enterprise technical initiatives is required.
• Experience leading small and large projects is required.
• Experience working in a matrixed environment with cross-functional teams.
• Strong understanding of Software Development Life Cycle (SDLC), infrastructure, cloud technologies, and enterprise platforms.
• Proficiency with Smartsheet, MS Project, Jira, ServiceNow, or similar PM tools.
• Strong communication and stakeholder management skills, including executive-level updates.
• PMP, PgMP, or PMI-ACP certification highly preferred.
• Experience supporting healthcare, analytics, or SaaS-based environments preferred.
• Experience working within Complex IT processes, architecture, and governance preferred.
• Demonstrated ability to take ownership, work independently, and drive results in a fast-paced environment.
• Able to manage multiple priorities, balance competing demands, and meet deadlines.