{"id":2881636,"url":"https://alion.io/job/the-hartford-ind-principal-data-engineer","title":"IND Principal Data Engineer","company":{"id":1760358,"name":"The Hartford","domain":"thehartford.com","url":"https://alion.io/company/thehartford-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":29,"ghost_share":0,"stale_share":0.724,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":58000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kanban","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-13T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-27T02:15:34Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"IND Director, Applied AI and Analytics - GCC145We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.\nKey Responsibilities\nLead teams to build and operate large and complex data ecosystem leveraging data domains, data products, cloud and modern technology stack \nLead teams responsible for Implementing Data and AI pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready. \nLead teams implementing real time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar. \nStay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems. This includes leading prototypes (POCs), conducting experiments, and recommending innovative tools and technologies to enhance data capabilities enabling business strategy. \nIdentify and Champion AI driven Data Engineering productivity improvements capabilities accelerating end-to-end data delivery lifecycle. \nLead teams designing and developing graph database solutions for complex data relationships supporting AI systems, this also includes developing and optimizing queries (e.g., Cyhper, SPARQL) to enable complex reasoning, relationship discovery, and contextual enrichment for AI agents. \nLead Implementation of best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. \nSimplify architectures to increase velocity, quality, and reliability \nEnable data-driven decisions that advance The Hartford’s strategic growth agenda \nChampion a strong data culture across the enterprise \nOwn outcomes for programs/portfolios; establish delivery strategy, guardrails, and success metrics \nDrive execution from initiation through release and stabilization; manage scope, estimates, schedules, risks/issues \nPromote advanced Agile behaviors, coach teams toward self-organization and continuous improvement \nServe as a trusted point of contact for sponsors and leaders; proactively manage risks and dependencies \nMentor Scrum Masters/Data Engineers/Tech Leads; coordinate partner resources; uphold engineering and documentation standards \nAlign delivery with technical design; leverage knowledge of modern data stacks (AWS, Snowflake, ETL/ELT), CI/CD, and DevOps) \nSupport the development and implementation of project and portfolio strategy, roadmaps, and implementations\nOperationalizing GitHub Copilot and Snowflake Copilot across multiple scrum teams with review standards and SDLC governance\nOwn portfolio-level AI adoption metrics (hours saved per sprint, PR review effort, pipeline lead-time, retrieval success rate); publish quarterly accelerator impact to EDS leadership.\nStandardize Copilot review gates and agent guardrails; achieve ≥20% reduction in boilerplate coding time and ≥15% improvement in documentation completeness.\nRequired Skills & Experience:\n7 to 8 years in technology leadership/delivery/program/project management with complex, multi-team initiatives \nOverall 10+ years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark, Datamesh, Datalake or Data Fabric. \nDemonstrated Agile leadership (Scrum/Kanban/SAFe) and coaching skills (3+ years intermediate/expert)\nSuccessful management of 3-4 scrum teams (3+ years intermediate/expert)\nCoaching and Mentoring skills (3+ years intermediate/expert)\nExcellent communication and stakeholder management (3+ years intermediate/expert)\nProficiency with delivery tooling (Rally, dashboards) and SDLC governance(3+ years 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