Partner with Engineering and Data Science teams to plan and execute the technical roadmap for the product
Facilitate planning sessions that balance feature delivery, technical debt, and platform stability
Define and track project milestones, deliverables, and success metrics development
Identify technical dependencies, integration risks, and scalability challenges early, then drive mitigation plans
Document technical requirements and propose pathways forward based on stakeholder needs and compliance requirements
Manage end-to-end project lifecycle for multiple concurrent development and enhancement workstreams
Implement and maintain agile methodologies to ensure timely delivery of project milestones
Track, coordinate, and communicate project schedules, including sprint plans and release dates
Identify, document and manage project risks, issues, and dependencies
Facilitate cross-functional team meetings and ensure clear communication between stakeholders
Create and maintain technical documentation including status reports, change requests, and project plans
Scope, schedule, and manage resources to deliver projects on time and within budget
Monitor project progress and make adjustments as needed to maintain alignment with goals
Ensure delivery processes incorporate appropriate validation, documentation, risk management, and quality control without adding unnecessary complexity
Implement quality assurance processes to ensure adherence to technical standards, data security requirements, and accessibility guidelines
Work with relevant teams to coordinate proper testing and validation of new features and releases
Monitor and report on project quality metrics throughout the development lifecycle
Partner with Data Security team to integrate security and data privacy requirements into development processes
Facilitate regular status meetings with stakeholders to provide updates and address technical concerns
Manage stakeholder expectations through clear communication of project scope, timeline, and deliverables
Escalate critical issues appropriately and work with leadership to resolve blockers
Develop and maintain relationships with key stakeholders across technical and business units
Present project status, risks, and outcomes to various levels of management
Document and communicate changes to project scope, schedule, or resources to all stakeholders.

Requirements

Deep alignment with DataKind's mission and values, and demonstrated commitment to educational equity and data-driven social impact
5+ years managing software/data engineering projects with demonstrated ability to review technical designs, and participate in architecture discussions
3+ years working directly with engineering teams using modern SDLC practices (CI/CD, Git workflows, API development)
2+ years working on data engineering, ETL/ELT pipelines, or analytics platform projects
History of successful technical product launches
Proficiency with project tracking tools (Asana, Jira, Linear) and documentation platforms
Exceptional written and verbal communication skills; can explain technical concepts to non-technical audiences and business priorities to engineers
Proven ability to deliver multi-quarter projects with cross-functional teams (engineering, data science, product)
Experience creating and maintaining project documentation, roadmaps, and status reports
Expert at converting ambiguous business needs into technical requirements and vice versa.

Benefits

Flexibility and time off.
Comprehensive Wellness Support.
A Culture of Growth.
Meaningful Connection.
Living our Values.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

project managementagile methodologiesdata engineeringETLELTAPI developmentCI/CDtechnical documentationrisk managementquality assurance

Soft Skills

communicationstakeholder managementcross-functional collaborationproblem-solvingleadershipadaptabilityorganizational skillspresentation skillsrelationship buildingtechnical explanation