About the role
Who We Are
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. Products are 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 offices are casual and inviting, the company is committed to core tenets of creativity, innovation, efficiency, and individual and team development. The industry is evolving and fast-paced, providing opportunities to learn and hone skills.
The Challenge
Seeking a Senior Agile Project Manager, Data Engineering to join the PMO in Austin, TX. This role requires leading large, complex data engineering and analytics initiatives while helping teams mature from traditional project delivery toward agile, transparent, and iterative ways of working. The role requires an operator who understands scope, schedule, budget, risks, vendors, governance, and executive reporting, alongside data platform literacy—including data stacks, cloud platforms, data pipelines, warehouses, and BI tools—to scope programs accurately.
The ideal candidate communicates clearly, organizes complex technical work, secures commitments, manages risks, identifies the critical path, spots edge cases, reviews metrics, and keeps stakeholders aligned. The candidate must move forward in the face of ambiguity, creating structure for teams to make decisions, deliver outcomes, and improve work processes.
What You’ll Take On
- Proactive Problem-solving: Work with data engineering teams, sponsors, and technical leads to keep work moving, remove blockers, escalate risks at the right level, and drive outcomes.
- Hybrid Delivery Leadership: Lead through both traditional and agile delivery methods. Determine when a project requires a clear plan, timeline, budget, RAID log, and governance rhythm, versus lighter agile planning, backlog refinement, Kanban flow, sprint routines, or iterative delivery checkpoints.
- Complex Data Project Ownership: 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: Coordinate work across multiple technical teams, business groups, vendors, and stakeholders. Identify dependencies early, clarify ownership, secure commitments, and connect work to strategic goals.
- Agile Enablement & Backlog Prioritization: Partner with Product Owners to prioritize the backlog. Improve visibility, planning, and delivery health, supporting backlog hygiene, intake practices, and practical delivery metrics.
- Efficient and Effective: Simplify processes, protect engineering time, and use meetings, reporting, and documentation to facilitate decision-making.
- Exemplary Communication: 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: Proactively identify risks across multi-team data programs, drive mitigation plans, maintain decision records, and help stakeholders understand trade-offs.
- Stakeholder and Sponsor Partnership: Act as a trusted partner to sponsors, technical leads, engineering managers, business partners, and PMO leadership. Manage competing demands across workstreams and facilitate trade-off decisions.
- Budget, Vendor, and Resource Awareness: Manage financial and operational realities of enterprise technology delivery, including headcount allocation, budget variances, and vendor coordination.
- Technical Credibility (Data Literacy): Possess sufficient understanding of the data stack (cloud platforms like AWS, data pipelines, warehouses, BI tools) to scope programs accurately and evaluate the realism of plans.
What You Bring
- Education: 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.
- Experience: 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 Literacy: Understanding of the data stack (AWS or equivalent, data pipelines, warehouses, BI tools) to manage data-centric projects.
- Project Leadership: Proven experience leading large, complex, cross-functional projects with multiple teams, senior stakeholders, and technical dependencies.
- Project Management Foundation: Hands-on experience with scope, schedule, budget, risk management (RAID logs), issue management, dependency tracking, and stakeholder communications.
- Agile Expertise: Practical understanding of Scrum, Kanban, Lean, backlog management, sprint/iteration planning, retrospectives, team metrics, and continuous improvement.
- Tooling: Proficiency in Jira, Confluence, Smartsheet, or similar, with experience managing portfolio-level dependency tracking and documentation.
- Soft Skills: Ability to partner with sponsors and technical leads, navigate ambiguity, manage stakeholders, resolve conflict, and drive decisions without overstepping technical ownership.
- Operational Experience: Experience with organizational change management, communication planning, implementation coordination, production readiness, and operational handoffs.
- Certifications: PMP, PMI-ACP, CSM, PSM, SAFe, or similar certifications are a plus.
Great to Have
- Previous experience as a Data Engineer or Data Engineering Manager.
What We Offer You
- Great Company Culture: An environment focused on creativity, innovation, efficiency, diversity, and philanthropy.
- Growth: A global entertainment company providing environments to be inquisitive, collaborative, and to grow within the company.
- Work Hard, Play Hard: Opportunities to bond through corporate boot camp classes, company parties, game release events, monthly socials, and team challenges.
- Benefits:
- Medical (HSA & FSA), dental, vision.
- 401(k) with company match.
- Employee stock purchase plan.
- Commuter benefits.
- In-house wellness program.
- Learning & development opportunities.
- Charitable giving platform with company match.
- 14 paid holidays per calendar year.
- Paid vacation time (15-25 days) or discretionary time off.
- Up to 10 paid sick days per calendar year.
- Paid parental and compassionate leave.
- Well-being programs for mental health.
- Family planning support through Maven.
- Fitness-related expense reimbursements.
- Perks: Fitness allowance, employee discount programs, free games & events, and stocked pantries.
Working Conditions
- This position requires that you physically work at the office at least 4 days per week at the Austin, TX location under the current hybrid work policy.