Lead Flag Football data-source discovery, integration, and onboarding across global partners. Manage the data roadmap, requirements, schemas, quality processes, milestones, risks, and stakeholder communications. Partner with technical and business teams to operationalize data platforms, identity management, consent-aware practices, participation measurement, and reporting. Enable analytics connecting participation data with fan engagement, retention, and fandom outcomes.
Key Responsibilities
- Lead the discovery, onboarding, and integration of Flag Football data sources into the central data platform.
- Coordinate data acquisition efforts across clubs, international markets, leagues, federations, vendors, registration providers, and other third-party partners.
- Manage the Flag Football data roadmap, priorities, milestones, risks, dependencies, and stakeholder communications.
- Translate business needs into data requirements, user stories, acceptance criteria, and monitoring needs.
- Establish and maintain standardized data definitions, collection methodologies, schemas, and reporting frameworks.
- Partner with engineering, architecture, analytics, governance, privacy, and business teams to move data sources from discovery through production.
- Support source onboarding through data profiling, validation, testing, quality assessment, and issue resolution.
- Develop and maintain a comprehensive inventory of Flag Football data sources and integration opportunities.
- Coordinate recurring program updates, executive reporting, and cross-functional working sessions.
- Support the development of global participation measurement methodologies and reporting.
- Help establish participant-level data models, identity management approaches, and consent-aware data practices.
- Enable analytical capabilities that connect participation data to fan engagement, retention, and fandom outcomes.
Required Qualifications
- 3+ years of experience in data product management, data strategy, analytics, business analysis, or a related field.
- Experience leading complex data integration or data platform initiatives from planning through implementation.
- Strong understanding of data pipelines, APIs, file-based integrations, ETL/ELT processes, data modeling, and cloud-based data platforms.
- Demonstrated ability to manage cross-functional programs involving both technical and business stakeholders.
- Experience gathering requirements, defining business processes, and translating needs into technical solutions.
- Strong analytical and problem-solving skills with experience using SQL and data analysis techniques.
- Excellent written and verbal communication skills.
- Ability to manage multiple priorities and stakeholders in a fast-paced environment.
Preferred Experience
- Experience working with sports, participation, registration, membership, fan, consumer, or youth-related data.
- Experience coordinating with external vendors, international organizations, or decentralized business partners.
- Familiarity with data governance, metadata management, privacy requirements, consent management, and data quality practices.
- Experience with participant identity resolution, customer data platforms, or master data management initiatives.
- Experience developing KPI frameworks, dashboards, executive reporting, and self-service analytics solutions.
- Knowledge of research methodologies, survey-based measurement, and longitudinal analytics.
- Experience working with AWS, Snowflake, GCP, or similar modern data platforms.
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
Fintech • Software • Financial Services
Owns fraud and market-abuse detection models, rules, and partner-facing surveillance reporting across trading data. Investigates wash trading, collusion, hedging, reverse trading, and other suspicious activity; calibrates thresholds, validates false positives, maintains data quality, and produces evidence-based findings. Requires strong SQL, cloud data warehouse experience, futures and derivatives knowledge, anomaly detection expertise, and the ability to communicate findings to partners and executives.
Top Skills:
AthenaBigQueryPythonSQL
Retail • Analytics
Owns Simbe’s product data management and Arena PLM administration for robotic hardware programs. Responsibilities include authoring and driving ECOs, MCOs, and deviations through approval; maintaining item masters, BOMs, approved vendor lists, part lifecycles, and documentation integrity; enforcing revision, numbering, and change-control standards; and coordinating implementation with Engineering, Operations, Supply Chain, suppliers, and contract manufacturers.
Top Skills:
Arena PlmBom ManagementPdmPlmRevision ControlVersion Management
Software
Analyze product and business data to guide product strategy, growth, customer experience, and experimentation. Responsibilities include funnel, cohort, retention, segmentation, monetization, dashboard, and reporting analysis; defining metrics; maintaining event tracking; troubleshooting data quality; integrating data from analytics, advertising, payment, and CRM systems; and documenting tracking plans and metric definitions.
Top Skills:
AmplitudeGoogle AnalyticsGoogle Tag ManagerJavaScriptPythonRReactSQL
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
