Senior Project Manager (Data Science)

Vizient•Chicago, IL

23h

About The Position

In this role, you will lead complex, enterprise-level technology initiatives within Data Science. You will partner with Data Science leadership, clients, architects, engineers, and external vendors to deliver projects aligned with strategic priorities and the long-term technology roadmap. You will ensure projects are completed on time, within scope, and in accordance with operational, security, and architectural standards while communicating progress, risks, and mitigation strategies to stakeholders and leadership.

Requirements

5 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 enterprise-level technical projects 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.
Strong communication and stakeholder management skills, including executive-level presentations.
Experience working within complex IT processes, architecture, and governance, with 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.

Nice To Haves

Relevant degree preferred.
Proficiency with project management tools such as Smartsheet, MS Project, Jira, or Azure DevOps highly preferred.
PMP, PgMP, or PMI-ACP certification preferred.
Experience supporting healthcare, analytics, or SaaS-based environments preferred.

Responsibilities

Lead cross-functional Data Science projects from initiation through implementation and operational transition.
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.
Manage risks, issues, dependencies, and change requests proactively.
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, statements of work, and integration activities.