Senior Project Manager

Join our team as a Senior Agile Project Manager, Data Engineering. In this role, you will lead large, complex data engineering and analytics initiatives, coordinate work across multiple technical teams and stakeholders, and drive the best possible outcomes for the business. You will have the opportunity to work in a hybrid delivery environment, utilizing both traditional and agile methods. Strong communication skills, technical credibility, and a proactive problem-solving mindset are essential for success in this role.

• Lead large, high-complexity data engineering and analytics initiatives from initiation through delivery, managing the integration of enterprise systems and cloud technologies at a program level.
• Coordinate work across multiple technical teams, business groups, vendors, and stakeholders, identifying dependencies early and securing commitments.
• Partner with Product Owners to prioritize the backlog, helping teams improve visibility, planning, and delivery health without adding unnecessary process.
• This role is for someone who can lead large, complex data engineering and analytics initiatives while helping teams continue to mature from traditional project delivery toward more agile, transparent, and iterative ways of working
• We are looking for that rare candidate who can operate confidently in both worlds
• You understand scope, schedule, budget, risks, vendors, governance, and executive reporting
• You also possess the necessary data platform literacy—understanding data stacks, cloud platforms, data pipelines, warehouses, and BI tools—to scope programs accurately and have credible conversations with engineers
• The ideal candidate communicates clearly, organizes complex technical work, secures commitments, manages risks, identifies the critical path, spots edge cases, reviews metrics and delivery data, and keeps stakeholders aligned
• Experience with organizational change management, communication planning, implementation coordination, production readiness, and operational handoffs
• Minimum of 7 years of project or program management experience, with at least 4-5 years specifically in a data engineering, data management, or analytics environment
• PMP, PMI-ACP, CSM, PSM, SAFe, or similar certification is a plus, but hands-on delivery experience, technical credibility, business judgment, and strong communication are most important
• Program management tooling — proficiency in Jira, Confluence, Smartsheet, or similar, with experience managing portfolio-level dependency tracking and documentation
• Strong project management foundation, including scope, schedule, budget, risk management (hands-on experience with RAID logs), issue management, dependency tracking, and stakeholder communications
• Practical understanding of agile delivery methods, including Scrum, Kanban, Lean, backlog management, sprint or iteration planning, retrospectives, team metrics, and continuous improvement practices
• Bachelor's degree in Information Systems, Business, Computer Science, Engineering, or a related field is preferred. Relevant experience may be considered in place of a degree
• Strong ability to partner with sponsors and technical leads, navigate ambiguity, manage difficult stakeholders, resolve conflict, and drive decisions without overstepping technical ownership
• Proven experience leading large, complex, cross-functional projects with multiple teams, senior stakeholders, technical dependencies, and high business visibility
• Data platform literacy — understanding of the data stack (cloud platforms like AWS or equivalent, data pipelines, warehouses, BI tools, etc.) to successfully manage data-centric projects
• Previous experience as a Data Engineer or Data Engineering Manager