Data Analytics Portfolio Manager

Role Overview

• Own and evolve the analytics intake process: Design, implement, and continuously improve a clear, scalable process for submitting, reviewing, and routing analytics requests.
• Establish intake standards, required fields, and decision criteria that improve request quality and speed time to triage.
• Create transparency into request status, pipeline health, and next steps for stakeholders and analytics teams.
• Perform light scoping and demand assessment: Partner with requestors and analytics leaders to clarify business objectives, desired outcomes, urgency, dependencies, and high-level level-of-effort.
• Translate ambiguous requests into well-defined problem statements, preliminary requirements, and actionable intake packages.
• Identify opportunities to consolidate, sequence, defer, or redirect requests based on value, readiness, and strategic fit.
• Facilitate prioritization and portfolio governance: Run weekly intake and prioritization meetings with strong preparation, clear recommendations, and documented decisions.
• Support prioritization using agreed-upon criteria such as business impact, strategic alignment, effort, risk, timing, and dependencies.
• Maintain a current view of analytics demand, in-flight work, backlog, and key trade-offs to support leadership decision-making.
• Drive stakeholder communication and alignment: Serve as a primary point of contact for intake-related communication, ensuring stakeholders understand process, timing, status, and decisions.
• Build strong relationships across business, operational, and analytics teams to improve intake quality and partnership.
• Communicate clearly and diplomatically in situations involving competing priorities, constrained capacity, or changing requirements.
• Manage workflow and delivery coordination tools: Manage tasks, updates, and workflow coordination in tools such as OpenText and ClickUp.
• Ensure requests, decisions, action items, and status updates are accurately documented and easy to follow.
• Partner with teams to improve workflow hygiene, reporting, and operational consistency across the intake-to-delivery lifecycle.
• Support portfolio visibility and operational excellence: Develop and maintain reporting, dashboards, or summaries that provide visibility into demand trends, throughput, bottlenecks, and priorities.
• Track risks, blockers, and dependencies and escalate issues when timely decisions are needed.
• Recommend process improvements that increase transparency, responsiveness, and alignment across the analytics portfolio.
• Contribute to broader analytics strategy and operations efforts: Partner with analytics leadership on planning, capacity discussions, prioritization frameworks, and operating rhythms.
• Help strengthen the team’s overall ways of working by bringing a product and program mindset to analytics demand management.
• Assist with other Data Governance, Data Literacy, enablement, or analytics operations duties as needed.

Requirements

• Bachelor’s degree in Business, Analytics, Information Systems, Project Management, Healthcare Administration, or a related field required
• 4+ years of experience in project management, program management, product management, portfolio management, PMO, or a similar role in analytics, data, technology, or operational environments
• Healthcare experience required
• Experience managing demand intake, prioritization, backlog governance, or cross-functional work planning
• Experience partnering with business stakeholders and technical teams to shape requests, define scope, and coordinate delivery
• Experience with workflow and collaboration tools such as ClickUp, OpenText, Jira, Azure DevOps, Smartsheet, ServiceNow, or similar platforms strongly preferred
• Familiarity with analytics, reporting, dashboarding, or data delivery environments preferred
• 3–5 years of experience in program or project management, ideally within data, analytics, or technology functions
• Familiarity with data analytics tools and concepts (e.g., dashboards, reporting, data platforms) preferred
• Ability to use relevant AI tools to develop innovative communications and engagement

Tech Stack

• Azure
• ServiceNow

Benefits

• Health insurance
• Paid time off
• Professional development
• Flexible work arrangements