{"id":3039411,"url":"https://alion.io/job/exl-agentic-data-delivery-lead","title":"Agentic Data Delivery Lead","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":252,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":60000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":20,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-08-20T16:44:57Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-24T17:52:36Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"Roles & Responsibilities\n1. Delivery Leadership & Strategy\nLead end-to-end delivery of large-scale data engineering and modernisation programs (Data Lakes, Data Warehousing, Lakehouse, Data Migration).\nDefine and drive Agentic AI-led delivery models to improve productivity across SDLC.\nOwn delivery governance, quality, timelines, and client satisfaction across multiple accounts.\n2. Data Platform & Modernisation Leadership\nDrive enterprise-level data transformations including:On-prem → Cloud migrations\nCloud → Cloud transformations\nLegacy DW → Modern Lakehouse / Warehouse\nPlatform modernisation & digitalisation initiatives\n\nArchitect scalable, resilient, and future-ready data ecosystems.\n3. GenAI / Agentic AI Delivery\nLead design and implementation of Agentic AI / LLM-based solutions in enterprise data ecosystems.\nDefine delivery patterns for multi-agent systems, RAG pipelines, automation, and intelligent workflows.\nDrive adoption of AI-led accelerators across delivery programs.\n4. Solutioning & Pre-Sales\nLead RFP / RFI / proactive solutioning for large deals.\nBuild value-led proposals including solution architecture, costing, and delivery models.\nWork closely with sales and account leadership in deal shaping.\n5. CoE & Capability Building\nBuild, scale, and run Data / AI / Agentic AI Centres of Excellence (CoEs).\nDefine frameworks, accelerators, reusable assets, and best practices.\nDevelop internal capability maturity models and delivery standards.\n6. Data Governance:\nDefine and enforce enterprise-wide data governance frameworks covering data quality, lineage, metadata, and access controls \nEnsure compliance with regulatory requirements, data privacy (PII), and security standards across all data and AI platforms \nEmbed governance controls within data engineering pipelines and Agentic AI / GenAI delivery workflows \nEstablish standards for data lifecycle management, audit readiness, and risk mitigation \nImplement AI governance practices, including model oversight, ethical AI usage, and guardrails \nCollaborate with stakeholders to drive adoption of governance policies across global delivery teams\nEngage with senior client stakeholders (CXO / VP level).\nAct as a trusted advisor on data strategy, AI adoption, and digital transformation.\nManage multi-geography teams and global client engagements.\n7. Stakeholder & Client Management\n8. Partnerships & Ecosystem\nDrive strategic partnerships with hyperscalers and technology partners such as:AWS, Azure, GCP\nSnowflake, Databricks\nOpenAI, Anthropic and GenAI ecosystem providers\n\nInfluence joint GTM strategies and co-innovation initiatives.\n9. Leadership & People Development\nLead and mentor large cross-functional teams (delivery, architecture, engineering).\nBuild leadership pipelines and strong engineering culture.\nDrive performance, engagement, and capability development.\nMust Have Skills & Experience\n20+ years of IT experience, with strong early career foundation in solution development / engineering.\n 10+ years of experience in data engineering & platform delivery, including:Data Lake / Data Warehouse implementation\nData migration (On-prem to Cloud / Cloud to Cloud)\nPlatform modernisation & digital transformation\n\n3-4 years of hands-on experience in GenAI / Agentic AI solutions.\nProven experience in building and leading large delivery teams and CoEs.\nStrong experience in stakeholder management and global client engagement.\nDemonstrated experience in RFPs, RFIs, and large deal solutioning.\nTechnology Exposure (Mandatory)\nProgramming: Python\nData Engineering: ETL/ELT, Big Data frameworks (Spark, Hadoop ecosystem)\nData Platforms: Snowflake, Databricks, Lakehouse architectures\nCloud: AWS / Azure / GCP\nAI/GenAI: LLMs, RAG, Agentic frameworks, orchestration tools\nGood to Have Skills\nExperience in multi-agent architectures and AI-driven automation of SDLC\nExposure to MLOps, DataOps, and AI governance frameworks\nExperience in industry domains such as Insurance, Banking, Healthcare, Retail\nThought leadership (whitepapers, POVs, client presentations)\n Roles & Responsibilities\n1. Delivery Leadership & Strategy\nLead end-to-end delivery of large-scale data engineering and modernisation programs (Data Lakes, Data Warehousing, Lakehouse, Data Migration).\nDefine and drive Agentic AI-led delivery models to improve productivity across SDLC.\nOwn delivery governance, quality, timelines, and client satisfaction across multiple accounts.\n2. Data Platform & Modernisation Leadership\nDrive enterprise-level data transformations including:On-prem → Cloud migrations\nCloud → Cloud transformations\nLegacy DW → Modern Lakehouse / Warehouse\nPlatform modernisation & digitalisation initiatives\n\nArchitect scalable, resilient, and future-ready data ecosystems.\n3. GenAI / Agentic AI Delivery\nLead design and implementation of Agentic AI / LLM-based solutions in enterprise data ecosystems.\nDefine delivery patterns for multi-agent systems, RAG pipelines, automation, and intelligent workflows.\nDrive adoption of AI-led accelerators across delivery programs.\n4. Solutioning & Pre-Sales\nLead RFP / RFI / proactive solutioning for large deals.\nBuild value-led proposals including solution architecture, costing, and delivery models.\nWork closely with sales and account leadership in deal shaping.\n5. CoE & Capability Building\nBuild, scale, and run Data / AI / Agentic AI Centres of Excellence (CoEs).\nDefine frameworks, accelerators, reusable assets, and best practices.\nDevelop internal capability maturity models and delivery standards.\n6. Data Governance:\nDefine and enforce enterprise-wide data governance frameworks covering data quality, lineage, metadata, and access controls \nEnsure compliance with regulatory requirements, data privacy (PII), and security standards across all data and AI platforms \nEmbed governance controls within data engineering pipelines and Agentic AI / GenAI delivery workflows \nEstablish standards for data lifecycle management, audit readiness, and risk mitigation \nImplement AI governance practices, including model oversight, ethical AI usage, and guardrails \nCollaborate with stakeholders to drive adoption of governance policies across global delivery teams\nEngage with senior client stakeholders (CXO / VP level).\nAct as a trusted advisor on data strategy, AI adoption, and digital transformation.\nManage multi-geography teams and global client engagements.\n7. Stakeholder & Client Management\n8. Partnerships & Ecosystem\nDrive strategic partnerships with hyperscalers and technology partners such as:AWS, Azure, GCP\nSnowflake, Databricks\nOpenAI, Anthropic and GenAI ecosystem providers\n\nInfluence joint GTM strategies and co-innovation initiatives.\n9. Leadership & People Development\nLead and mentor large cross-functional teams (delivery, architecture, engineering).\nBuild leadership pipelines and strong engineering culture.\nDrive performance, engagement, and capability development.\nMust Have Skills & Experience\n20+ years of IT experience, with strong early career foundation in solution development / engineering.\n 10+ years of experience in data engineering & platform delivery, including:Data Lake / Data Warehouse implementation\nData migration (On-prem to Cloud / Cloud to Cloud)\nPlatform modernisation & digital transformation\n\n3-4 years of hands-on experience in GenAI / Agentic AI solutions.\nProven experience in building and leading large delivery teams and CoEs.\nStrong experience in stakeholder management and global client engagement.\nDemonstrated experience in RFPs, RFIs, and large deal solutioning.\nTechnology Exposure (Mandatory)\nProgramming: Python\nData Engineering: ETL/ELT, Big Data frameworks (Spark, Hadoop ecosystem)\nData Platforms: Snowflake, Databricks, Lakehouse architectures\nCloud: AWS / Azure / GCP\nAI/GenAI: LLMs, RAG, Agentic frameworks, orchestration tools\nGood to Have Skills\nExperience in multi-agent architectures and AI-driven automation of SDLC\nExposure to MLOps, DataOps, and AI governance frameworks\nExperience in industry domains such as Insurance, Banking, Healthcare, Retail\nThought leadership (whitepapers, POVs, client presentations)\n Roles & Responsibilities\n1. Delivery Leadership & Strategy\nLead end-to-end delivery of large-scale data engineering and modernisation programs (Data Lakes, Data Warehousing, Lakehouse, Data Migration).\nDefine and drive Agentic AI-led delivery models to improve productivity across SDLC.\nOwn delivery governance, quality, timelines, and client satisfaction across multiple accounts.\n2. Data Platform & Modernisation Leadership\nDrive enterprise-level data transformations including:On-prem → Cloud migrations\nCloud → Cloud transformations\nLegacy DW → Modern Lakehouse / Warehouse\nPlatform modernisation & digitalisation initiatives\n\nArchitect scalable, resilient, and future-ready data ecosystems.\n3. GenAI / Agentic AI Delivery\nLead design and implementation of Agentic AI / LLM-based solutions in enterprise data ecosystems.\nDefine delivery patterns for multi-agent systems, RAG pipelines, automation, and intelligent workflows.\nDrive adoption of AI-led accelerators across delivery programs.\n4. Solutioning & Pre-Sales\nLead RFP / RFI / proactive solutioning for large deals.\nBuild value-led proposals including solution architecture, costing, and delivery models.\nWork closely with sales and account leadership in deal shaping.\n5. CoE & Capability Building\nBuild, scale, and run Data / AI / Agentic AI Centres of Excellence (CoEs).\nDefine frameworks, accelerators, reusable assets, and best practices.\nDevelop internal capability maturity models and delivery standards.\n6. Data Governance:\nDefine and enforce enterprise-wide data governance frameworks covering data quality, lineage, metadata, and access controls \nEnsure compliance with regulatory requirements, data privacy (PII), and security standards across all data and AI platforms \nEmbed governance controls within data engineering pipelines and Agentic AI / GenAI delivery workflows \nEstablish standards for data lifecycle management, audit readiness, and risk mitigation \nImplement AI governance practices, including model oversight, ethical AI usage, and guardrails \nCollaborate with stakeholders to drive adoption of governance policies across global delivery teams\nEngage with senior client stakeholders (CXO / VP level).\nAct as a trusted advisor on data strategy, AI adoption, and digital transformation.\nManage multi-geography teams and global client engagements.\n7. Stakeholder & Client Management\n8. Partnerships & Ecosystem\nDrive strategic partnerships with hyperscalers and technology partners such as:AWS, Azure, GCP\nSnowflake, Databricks\nOpenAI, Anthropic and GenAI ecosystem providers\n\nInfluence joint GTM strategies and co-innovation initiatives.\n9. Leadership & People Development\nLead and mentor large cross-functional teams (delivery, architecture, engineering).\nBuild leadership pipelines and strong engineering culture.\nDrive performance, engagement, and capability development.\nMust Have Skills & Experience\n20+ years of IT experience, with strong early career foundation in solution development / engineering.\n 10+ years of experience in data engineering & platform delivery, including:Data Lake / Data Warehouse implementation\nData migration (On-prem to Cloud / Cloud to Cloud)\nPlatform modernisation & digital transformation\n\n3-4 years of hands-on experience in GenAI / Agentic AI solutions.\nProven experience in building and leading large delivery teams and CoEs.\nStrong experience in stakeholder management and global client engagement.\nDemonstrated experience in RFPs, RFIs, and large deal solutioning.\nTechnology Exposure (Mandatory)\nProgramming: Python\nData Engineering: ETL/ELT, Big Data frameworks (Spark, Hadoop ecosystem)\nData Platforms: Snowflake, Databricks, Lakehouse architectures\nCloud: AWS / Azure / GCP\nAI/GenAI: LLMs, RAG, Agentic frameworks, orchestration tools\nGood to Have Skills\nExperience in multi-agent architectures and AI-driven automation of SDLC\nExposure to MLOps, DataOps, and AI gov...","description_format":"text","description_chars":12157,"description_truncated":true,"requirements":{"experience_years_min":20,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-21T22:18:10Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.34,"p_room":0.28,"age_days":64,"expected_fill_days":15,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/exl-agentic-data-delivery-lead","json_url":"https://alion.io/job/exl-agentic-data-delivery-lead.json","meta":{"generated_at":"2026-10-24T21:38:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":31790,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":38016},"rest":"https://alion.io/mcp/rest/get_company?id=38016"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fexl-agentic-data-delivery-lead"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fexl-agentic-data-delivery-lead"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fexl-agentic-data-delivery-lead"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/exl-agentic-data-delivery-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexl-agentic-data-delivery-lead"}]}