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Data & Analytics Project Manager

Job in Lee's Summit, Lees Summit, Jackson County, Missouri, 64002, USA
Listing for: Dimagi
Contract position
Listed on 2026-06-08
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Business Systems/ Tech Analyst, IT Project Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Lee's Summit

About the Position

Dimagi is looking for a Project Manager to support our Data & Analytics work within the US Solutions Division. This position will be affiliated with our Cambridge, MA office but is open to remote employment within the United States.
This is a 12-month fixed-term position with the possibility of renewal based on business requirements and mutual interest.

The Project Manager will play a critical role in coordinating the delivery, evolution, and adoption of Dimagi’s Data Platform across multiple projects. In this role, you will work closely with Data Engineers, Project Directors, and project teams to manage timelines, priorities, and cross‑functional dependencies related to data pipelines, reporting, and analytics deliverables.

You will coordinate data‑related work streams across projects, ensuring work is well‑scoped, appropriately sequenced, and aligned with both project needs and broader platform considerations. This includes managing sprint execution, facilitating requirements definition for data use cases, and supporting consistent approaches to data modeling, reporting, and system integration across projects.

This role assumes comfort using AI‑assisted tools to support planning, documentation, analysis, and learning in a complex technical environment.

Responsibilities
  • Coordinate delivery of data and analytics work streams, including data pipeline development, reporting, and dashboarding efforts, ensuring alignment with project timelines and priorities.
  • Serve as a key external‑facing representative for a project team. Project Managers are responsible for leading conversations around project planning, road mapping and ensuring adherence to standard project management practices.
  • Facilitate requirements gathering and refinement for data use cases, including reporting needs, data integrations, and analytics workflows, in collaboration with clients and internal technical teams.
  • Manage sprint planning and execution for data‑focused work, working closely with Data Engineers and a Project Director to ensure clear prioritization, sequencing, and delivery of tasks.
  • Support cross‑project consistency in data platform usage, helping teams align on approaches to data modeling, reporting structures, and integration patterns where appropriate.
  • Track and manage dependencies across data systems and external integrations, ensuring risks are identified early and communicated clearly to stakeholders.
  • Use AI‑assisted tools thoughtfully to improve efficiency in requirements synthesis, project documentation, risk tracking, and stakeholder communications, while ensuring accuracy and alignment with project standards.
Qualifications
  • 5+ years of experience managing software or technical projects, including coordination across cross‑functional teams
  • Demonstrated ability to manage delivery of complex technical work streams, including coordinating timelines, dependencies, and stakeholders across multiple teams
  • Experience gathering and translating requirements from diverse stakeholders into clear, actionable plans for technical teams
  • Experience running agile delivery processes, including sprint planning, backlog management, and cross‑team coordination
  • Strong organizational and project management skills, with the ability to manage multiple concurrent work streams, dependencies, and timelines
  • Comfort working with technical concepts and systems, with the ability to engage effectively with engineers and understand system constraints, integrations, and data flows
  • Demonstrated ability to operate in ambiguous environments, prioritize effectively, and make tradeoffs across competing priorities
  • Excellent written and verbal communication skills, including the ability to synthesize complex information for different audiences
  • Strong analytical and problem‑solving mindset, with comfort investigating issues, identifying root causes, and driving resolution
  • Comfort using AI‑assisted tools to support project management tasks such as documentation, requirements synthesis, risk analysis, and onboarding to new systems or domains
  • Self‑motivated, detail‑oriented, and able to operate independently while coordinating across teams
  • Eligible to work in…
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