Jobs at EXL

Leads global marketing projects from planning through completion, coordinating cross-functional teams, agencies, sponsors, vendors, budgets, timelines, risks, and campaign performance. The role manages stakeholder communications, resource allocation, process improvements, and post-project evaluations while ensuring alignment with brand, legal, and strategic objectives. It requires Adobe Workfront proficiency, project management expertise, marketing knowledge, and occasional domestic travel.

Coordinate intake, access management, governance, and issue escalation across the organization’s MarTech platforms. Track service-level agreements, request status, adoption, usage, and open issues; maintain governance records and standards; support access recertification, governance forums, UAT, release tracking, and stakeholder communications. The role partners with Product Management, Solutions Architecture, and MarTech Strategy teams to improve operational consistency, transparency, and platform scalability.

Leads analytics support for international sports fan growth and engagement. Partners with marketing, club, league, and regional stakeholders to define analytics opportunities, perform SQL and Python analysis, develop segmentation, propensity, churn, forecasting, and customer lifetime value models, and translate findings into business recommendations. Owns reporting and data quality, presents to senior audiences, mentors analysts, coordinates team priorities, and collaborates with data engineering and external partners.

Oversee global sports league marketing projects from initiation through completion. Develop project plans, schedules, budgets, and resource strategies; coordinate cross-functional teams, agencies, vendors, sponsors, and stakeholders; manage risks and campaign execution; track performance and expenditures; and drive continuous process improvement. Ensure marketing initiatives meet timelines, brand standards, legal requirements, and strategic objectives while communicating progress and outcomes to leadership.

Designs enterprise Braze architectures integrating CDPs, data warehouses, reverse ETL, product analytics, and cloud platforms. Leads implementations, migrations, integrations, governance, security, personalization, deliverability, experimentation, and performance optimization. Advises executive stakeholders, leads technical delivery and presales, establishes operating models and standards, builds reusable practice assets, and mentors distributed teams.

No responsibilities or qualifications were provided. The available job title indicates a Business Analyst role, generally focused on supporting business processes and analysis.

Leads strategic client engagements and executive relationships for manufacturing and automotive analytics, data, AI, and digital transformation programs. Oversees solution design, proposals, commercial growth, delivery governance, roadmaps, data-platform modernization, and AI initiatives. Manages portfolios up to $10M–$15M annually, develops executive recommendations, mentors multidisciplinary teams, and builds reusable industry capabilities across smart manufacturing, connected operations, supply chain, quality, and industrial AI.

Develop and maintain Power BI dashboards, reports, DAX measures, KPIs, and dimensional data models for insurance stakeholders. Write complex SQL for data extraction, transformation, reconciliation, and analysis. Investigate data-quality issues, validate reporting accuracy, optimize performance, and translate insurance business requirements into actionable analytics solutions. Collaborate with engineering, business, and analytics teams across multiple data sources.

Owns the lifecycle of international data products from business requirements through engineering delivery, release, and production monitoring. The role investigates data issues using SQL and Python, validates data quality, defines acceptance criteria, manages requirements and traceability, and translates findings into actionable business insights. It partners closely with stakeholders and data engineering teams to resolve incidents, improve data trust, and establish monitoring and stewardship practices.

Owns and expands strategic Energy and Infrastructure client relationships, driving account growth through consultative selling, solutioning, and cross-sell opportunities. Provides energy-sector leadership across generation, transmission, utilities, and LNG. Leads large engagements from solution definition through delivery while partnering with sales, consulting, technology, and delivery teams. Develops reusable offerings, practice capabilities, thought leadership, and go-to-market strategies for the portfolio.

Owns strategy, roadmap, requirements, backlog, and delivery for an AI data product. Coordinates cross-functional teams, manages timelines and risks, supports application administration and quality assurance, resolves user issues, and gathers stakeholder feedback to drive product improvements and engagement.

Leads end-to-end machine learning delivery for insurance transformation programs, including feature engineering, model development, validation, tuning, explainability, governance, and production readiness. Translates business objectives into analytics use cases and delivery plans, manages client relationships, coordinates distributed teams, and supports architecture, UAT, MLOps, monitoring, and deployment discussions. Requires strong Python, statistical modeling, SQL, large-scale data, stakeholder communication, and production ML experience.