EXL
Jobs at EXL
Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.
Success! We'll use this to further personalize your experience.
Recently posted jobs
Information Technology • Database • Consulting
Leads the full CRM marketing lifecycle, including campaign strategy, audience segmentation, personalization, build, QA, deployment, testing, measurement, and optimization across email, SMS, and push channels. Uses analytics, automation, machine learning, and predictive modeling to improve engagement, conversion, and fan lifetime value. Collaborates with Marketing, Data & Analytics, MarTech, Product Marketing, agencies, and vendors to deliver large-scale campaigns and continuous performance improvements.
Information Technology • Database • Consulting
Leads large-scale analytics and data management programs, overseeing scope, timelines, quality, costs, governance, risks, stakeholders, and globally distributed teams. Provides technical delivery oversight for cloud analytics, data engineering, data warehousing, and modern data stacks. Mentors leaders, manages executive relationships, drives continuous improvement, and identifies account-growth opportunities through organic business development, proposals, estimation, and solution shaping.
Information Technology • Database • Consulting
Owns the CRM marketing lifecycle, including strategy, audience segmentation, campaign production, QA, deployment, testing, performance measurement, and optimization across email, SMS, and push channels. The role develops personalized lifecycle campaigns, uses analytics and automation to improve fan lifetime value, extracts actionable insights, and collaborates with marketing, analytics, MarTech, product marketing, agencies, and vendors.
Information Technology • Database • Consulting
Design, develop, and optimize complex Oracle SQL queries, views, stored procedures, and packages to power marketing analytics. Support audience selection, segmentation, suppression logic, and campaign tracking. Collaborate with marketing, analytics, and data science teams; provide production support, troubleshooting, root-cause analysis, and ensure data accuracy and performance across large datasets.
