Lead high-impact data transformation initiatives for enterprise clients across industries such as sports, healthcare, automotive, and digital marketing. Partner with client executives and business stakeholders to understand strategic objectives and translate them into data-driven analytics solutions. Deliver insights through interactive dashboards, customized reporting, and advanced analytics to guide high-level decision-making. Present recommendations to senior and C-Suite leadership using clear, data-driven storytelling and compelling visualizations.
- Lead end-to-end analytics project delivery, including requirements gathering, scoping, timeline management, and stakeholder communication.
- Champion Agile methodologies (Scrum, Kanban), managing sprints and workflows through JIRA and maintaining documentation in Confluence.
- Ensure project governance, risk management, and delivery excellence across crossfunctional teams.
- Architect scalable data ecosystems, including pipelines supporting BI, machine learning models, and enterprise reporting.
- Oversee data ingestion, profiling, transformation, and semantic layer creation to enable efficient analytics consumption.
- Work with cloud platforms such as AWS and Azure to build secure, scalable environments for data processing.
- Evaluate and implement modeling techniques such as ensemble learning, neural networks, time-series forecasting, and multivariate statistics.
- Operationalize ML and predictive models into production environments to support automated decision-making.
- Lead innovation initiatives using generative AI, optimization methods, and advanced statistical approaches.
- Lead marketing analytics initiatives such as media mix modeling, multi-touch attribution, and budget allocation optimization.
- Develop performance metrics, predictive models, and analytical insights for sports clients to support game strategy and fan engagement.
- Manage, mentor, and develop a team of data engineers, data scientists, BI developers, and project managers.
- Drive talent acquisition efforts, including campus hiring, assessments, and onboarding programs.
- Foster a culture of continuous learning, innovation, and collaborative problem-solving.
- Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.
Requires Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related analytical field Plus Eight (8) years of data analytics, data engineering, or business intelligence experience.
Must have at least Seven (7) years of experience with the following:
Data Engineering & ETL Development
Must have at least Five (5) years of experience with the following:
Cloud Platforms: AWS or Azure
Programming & Analytics Languages: Python, SQL, R, or PySpark
Must have at least Four (4) years of experience with the following:
Project & People Management
Must have at least Three (3) years of experience with the following:
Business Intelligence Tools: Power BI or Tableau
Must have at least Two (2) years of experience with the following:
Data Governance & Compliance
Statistical & Predictive Analytics: Machine Learning, Forecasting, or Segmentation
40 hours/week, 9:00am-5:00pm, Salary range: $173,000 to $175,000 per year
To apply: Send resume and cover letter to us.careers@exlservice.com. Must cite job title and code EXL94 in response. This notice is subject to ExlService.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.