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.

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.
Ability to manage multiple priorities, balance competing demands, and meet deadlines.

Project Manager, Data Science

Key skills