{"id":3152715,"url":"https://alion.io/job/mirus-opportunities-head-data-engineering-artificial-intelligence-delivery-bankingfinancial-services","title":"Head - Data Engineering & Artificial Intelligence Delivery - Banking/Financial Services","company":{"id":3801692,"name":"Mirus Opportunities","domain":"mirus-sol.in","url":"https://alion.io/company/mirus-opportunities","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":109000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":50},"experience_years_min":20,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-23T11:48:15Z","employer_posted_date":null,"last_verified_at":"2026-10-23T11:48:15Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":9},"description":"Role Overview:\n\nA leading financial services organisation is seeking a senior technology leader to lead enterprise-wide data and artificial intelligence engineering and delivery. 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The role requires strong expertise in modern data architecture, artificial intelligence and machine learning enablement, data governance, and large-scale engineering delivery.\n\nKey Responsibilities:\n\n- Lead the enterprise data and artificial intelligence engineering function, including capability development, engineering standards, and delivery practices.\n\n- Build and scale secure, reusable data pipelines, transformations, and data products to support business applications, analytics, and artificial intelligence outcomes.\n\n- Establish engineering excellence through Agile, DevOps, DataOps, automation, and standardised delivery frameworks.\n\n- Own end-to-end delivery, prioritisation, and execution across multiple engineering teams and workstreams.\n\n- Partner with architecture, data governance, artificial intelligence portfolio teams, platform teams, and business stakeholders to align delivery with enterprise strategy.\n\n- Ensure data quality, lineage, observability, security, privacy, and regulatory compliance across engineering outputs.\n\nIdeal Candidate Profile:\n\n- 20 - 28 years of experience in technology and engineering, with substantial leadership experience in enterprise data engineering and delivery.\n\n- Strong banking or financial services background, with an understanding of financial data, fraud detection, and credit scoring.\n\n- Demonstrated experience building and scaling enterprise data platforms, reusable data products, and large-scale data pipelines.\n\n- Deep understanding of modern data architectures, including data lakes, data warehouses, lakehouse architecture, data fabric, streaming, and data mesh.\n\n- Strong exposure to cloud-based data platforms, artificial intelligence and machine learning data enablement, and modern engineering practices.\n\n- Proven ability to lead large engineering teams, manage complex delivery portfolios, and translate strategic priorities into production-ready solutions.\n\nSkills\nIT Product Development, 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