{"id":3988312,"url":"https://alion.io/job/exl-delivery-manager-3","title":"Delivery Manager","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":239,"ghost_share":0,"stale_share":0.983,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Product","role_family":"Product","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Agile","optional":true},{"name":"AI Agents","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Glue","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"CI/CD","optional":true},{"name":"GitLab","optional":true},{"name":"Hugging Face","optional":true},{"name":"Java","optional":true},{"name":"Jenkins","optional":true},{"name":"LLM","optional":true},{"name":"OpenAI","optional":true},{"name":"OWASP","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Terraform","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-11-09T18:18:51Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T22:25:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a Delivery Lead to manage the end-to-end delivery of data platform projects, including solutions leveraging Generative AI and modern data engineering architectures. This role requires strong coordination across cross-functional teams of Data Engineers, Machine Learning Engineers, Architects, and platform specialists to ensure successful implementation and business\nBase Compensation Range: 130,000 - 160,000\nThe posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.\nFor more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits\n Responsibilities:\nOversee and drive the delivery of end-to-end projects focused on analytical applications and data solutions.\nProvide technical leadership and mentorship to data engineering teams, guiding them on complex challenges and best practices.\nCollaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables.\nUtilize Generative AI frameworks like OpenAI, Hugging Face, or Google Vertex AI to design, deploy, and integrate cutting-edge AI/ML solutions.\nManage cross-functional collaboration with Business Data Analysts (BDAs), ensuring alignment between data engineering and business goals.\nTake ownership of release planning, change management, and stakeholder engagement to ensure project success.\nEnsure adherence to Agile practices, facilitating sprint planning, retrospectives, and delivery timelines.\nTechnical Expertise:\nFramework and Foundational Services: Expertise in building modular, scalable, and reusable frameworks for data integration, data quality validation, and pipeline orchestration.\n Generative AI Integration: Hands-on experience with LLM (Large Language Models), Agentic AI, and integration with APIs from platforms like OpenAI, Hugging Face, and AWS AI services.\n Data Engineering: Strong background in Snowflake, SQL, DBT, and PySpark, with advanced knowledge of query optimization, CDC (Change Data Capture), and data transformation.\n Cloud Platforms: Extensive experience with AWS (Glue, EMR, S3, Lambda, Redshift), Azure Data Factory, and cloud-native architectures.\nApplication Development: Expertise in developing event-driven and microservices-based architectures using Java, Python, and modern frameworks.\nCI/CD & Automation: Proficient in building CI/CD pipelines with tools like Jenkins, GitLab, and Terraform for infrastructure-as-code automation.\nBig Data & Analytics: Proven experience in managing Big Data platforms and implementing solutions for large-scale data ingestion, storage, and processing.\nSecurity & Compliance: Implementation of security best practices, including OWASP guidelines, RBAC, and vulnerability detection/remediation.\nMust Have:\nProven experience in building scalable data engineering frameworks and foundational services to support enterprise-wide analytics initiatives.\nHands-on expertise in Snowflake, Spark, and AWS Glue, with knowledge of event-driven architectures and streaming data solutions.\nStrong leadership experience in managing teams and delivering complex projects in Agile environments with leading team size of more than 20 members\nProficiency in integrating Generative AI solutions into existing platforms and 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