Senior Project Manager

Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. The Company develops and publishes products principally through Rockstar Games, 2K, Private Division, and Zynga. Our products are currently designed for console gaming systems, PC, and Mobile, including smartphones and tablets, and are delivered through physical retail, digital download, online platforms, and cloud streaming services. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO.

While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions.

We are seeking a Senior Agile Project Manager, Data Engineering to join the PMO in Austin, TX. 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.

You are practical about where the organization is today and thoughtful about how to move teams forward without forcing process that does not fit the work. 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. You continue to move forward in the face of ambiguity and imperfect information, creating enough structure for teams to make decisions, deliver outcomes, and improve how work gets done.

• Proactive Problem-solving: First and foremost you are a problem-solver. You work with data engineering teams, sponsors, and technical leads to keep work moving, remove blockers, escalate risks at the right level, and drive the best possible outcome for the business.
• Hybrid Delivery Leadership: You are comfortable leading through both traditional and agile delivery methods. You know when a project needs a clear plan, timeline, budget, RAID log, and governance rhythm, and when a team needs lighter agile planning, backlog refinement, Kanban flow, sprint routines, or iterative delivery checkpoints.
• Complex Data Project Ownership: You 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.
• Cross-team Coordination: You coordinate work across multiple technical teams, business groups, vendors, and stakeholders. You identify dependencies early, clarify ownership, secure commitments, and help teams understand how their work connects to the larger strategic goals.
• Agile Enablement & Backlog Prioritization: You partner with Product Owners to prioritize the backlog. You help teams improve visibility, planning, and delivery health without adding unnecessary process, supporting backlog hygiene, intake practices, and practical delivery metrics.
• Efficient and Effective: You simplify where you can, protect engineering time, and use meetings, reporting, and documentation to help the team or stakeholders make better decisions.
• Exemplary Communication: Your written and verbal communication skills are strong. You can distill complex data pipelines and delivery details into clear updates for engineers, managers, sponsors, Steering Committees, and senior leadership based on the target audience.
• Risk, Issue, and Dependency Management: You proactively identify what could go wrong across complex, multi-team data programs before it becomes a problem. You surface risk early, drive mitigation plans, maintain clear decision records, and help stakeholders understand trade-offs.
• Stakeholder and Sponsor Partnership: You are a trusted partner to sponsors, technical leads, engineering managers, business partners, and PMO leadership. You can manage competing demands across multiple workstreams and make or facilitate hard trade-off decisions.
• Budget, Vendor, and Resource Awareness: You understand the financial and operational realities of enterprise technology delivery. You manage headcount allocation across programs, track budget variances, and support vendor coordination.
• Technical Credibility (Data Literacy): You are comfortable working with data teams across areas such as cloud platforms (e.g., AWS), data pipelines, warehouses, and BI tools. You do not need to be the technical expert, but you need enough understanding of the data stack to scope programs accurately, evaluate if plans are realistic, and have credible conversations with engineers.

• 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.
• 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.
• 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.
• Proven experience leading large, complex, cross-functional projects with multiple teams, senior stakeholders, technical dependencies, and high business visibility.
• 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.
• Program management tooling — proficiency in Jira, Confluence, Smartsheet, or similar, with experience managing portfolio-level dependency tracking and documentation.
• Strong ability to partner with sponsors and technical leads, navigate ambiguity, manage difficult stakeholders, resolve conflict, and drive decisions without overstepping technical ownership.
• Experience with organizational change management, communication planning, implementation coordination, production readiness, and operational handoffs.
• 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.

• Previous experience as a Data Engineer or Data Engineering Manager