Lead end-to-end delivery of large analytics and data management programs, manage multi-workstream teams, enforce governance and best practices, liaise with senior client stakeholders, mentor global teams, and drive account growth through opportunity mining and solution shaping across cloud data platforms and modern data-stack initiatives.
JOB DESCRIPTION
We are seeking a Director, Data Management to lead large-scale Analytics & Data Management programs for marquee clients in our Sports & Gaming practice. This role combines delivery excellence, stakeholder management, team leadership, and account growth, with a strong emphasis on best practices, innovation, and customer satisfaction.
The ideal candidate should bring deep experience in data & analytics delivery, strong analytical skills, and the ability to mine new opportunities within existing accounts while ensuring high team morale and predictable outcomes. The incumbent will collaborate closely with business stakeholders, and delivery teams to drive best practices, ensure consistently best quality output across the board, and endeavor to improve the current state.
ResponsibilitiesKey Responsibilities:
1. Delivery Leadership
- Own end-to-end delivery of analytics and data management engagements, ensuring scope, timelines, quality, and cost targets are met.
- Establish and enforce delivery best practices, governance models, and execution frameworks across programs.
- Manage complex, multi-workstream programs and projects involving data engineering, data platforms, and analytics solutions.
- Proactively identify risks, dependencies, and bottlenecks; drive structured problem-solving and mitigation plans.
2. Stakeholder & Client Management
- Act as a trusted advisor to senior client stakeholders, ensuring transparency, alignment, and value realization.
- Lead executive-level reviews, steering committee meetings, and roadmap discussions.
- Balance client expectations with internal capabilities to ensure sustainable delivery.
3. Team Leadership & Talent Development
- Build, manage, and scale large, globally distributed teams across geographies.
- Foster a culture of collaboration, ownership, continuous improvement, and high team satisfaction.
- Mentor delivery managers, tech leads, and high-potential talent; support career growth and succession planning.
4. Analytics, Data & Technology Oversight
- Provide delivery leadership for solutions involving:
- Data Management & Data Engineering
- Cloud-based analytics platforms
- Data warehousing and modern data stacks
- Demonstrate strong familiarity with:
- AWS Cloud, including AWS Redshift
- SQL and Python (hands-on not mandatory, but must be delivery-fluent)
- Collaborate with architects and engineering leads to ensure scalable, secure, and performant solutions.
5. Account Growth & Organic Business Development
- Drive organic growth within existing accounts by identifying white-space opportunities and unmet client needs.
- Partner with sales and leadership to support account growth targets, proposals, and solution shaping.
- Lead opportunity mining, effort estimation, and delivery approach definition for new initiatives.
- Contribute to long-term account strategy and roadmap planning.
Qualifications
Qualifications:
- 10-12 years of experience in delivery, program, or project management within analytics, data management, or data engineering domains.
- Proven experience managing large, global, cross-functional teams.
- Strong understanding of data management and data engineering ecosystems.
- Strong experience with AWS or other cloud data ecosystems (Azure, Databricks, Snowflake, GCP).
- Hands-on familiarity with SQL & Python
- Experience with Agile delivery and project management tools (JIRA, Azure DevOps, etc.).
- Excellent analytical and problem-solving skills with a structured, data-driven mindset.
- Experience with data clean room solutions, consent platforms, DataOps exposure (data observability, DQ frameworks, lineage, incident management, and SLO/SLA governance), software/application development delivery (frontend, backend, API management, and design/UX collaboration), SDLC practices (CI/CD)
- Outstanding communication and stakeholder management skills, including executive presence.
- Demonstrated success in account mining, organic BD, and supporting revenue growth.
Preferred Skills:
- Ability to balance strategic project management with technical understanding.
- Experience working with Fortune 500 or global enterprise clients.
- Passion for sports, fan engagement, or DTC business models.
Soft Skills:
- Excellent leadership, communication, and stakeholder management abilities.
- Strong problem-solving, analytical thinking, and decision-making skills.
EXL New York, New York, USA Office
320 Park Avenue, 29th Floor, New York, NY, United States, 10022
EXL Jersey City, New Jersey, USA Office
Jersey City, United States, 0
EXL Newark, New Jersey, USA Office
Newark, United States
Similar Jobs
23 Hours Ago
Artificial Intelligence • Pet • Software
Lead clinical data management for late-stage oncology indication(s), overseeing portfolio execution, resourcing, risk and quality oversight, cross-functional alignment, standards adoption (CDISC, EDC integrations), inspections readiness, team coaching, hiring, budget management, and continuous improvement to ensure timely, compliant delivery of study and program data.
Top Skills:
CdashCdiscDashboardingData VisualizationDefine-XmlEcoaEcrfEdcGcdsGdiaGdmsIntegration ToolsIrtLoincQuery ManagementReconciliation ToolsSdtm
23 Hours Ago
Artificial Intelligence • Pet • Software
Lead capacity planning, forecasting, and portfolio performance for Clinical Data Management. Standardize metrics, drive operational governance, implement forecasting tools and dashboards, enable resource and financial planning, oversee change management and training, and represent CDM across cross-functional and global stakeholders to improve efficiency and decision-making.
Top Skills:
ExcelPower BITableau
Fintech
Senior leader who defines and drives enterprise data governance and enablement strategy, partners with executives and cross-functional teams, leads readiness and impact analyses, sponsors governance programs, directs communications and training, monitors adoption metrics, and oversees multi-year data initiatives to ensure regulatory and policy compliance.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
