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.
Responsibilities- 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 [email protected]. 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.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related analytical field
- 8 years of experience in data analytics, data engineering, or business intelligence
- 7 years of experience with data engineering and ETL development
- 5 years of experience with AWS or Azure cloud platforms
- 5 years of experience with Python, SQL, R, or PySpark
- 4 years of experience with project and people management
- 3 years of experience with Power BI or Tableau
- 2 years of experience with data governance and compliance
- 2 years of experience with machine learning, forecasting, or segmentation
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
