{"id":2735279,"url":"https://alion.io/job/standard-chartered-vp-lead-data-engineer-ai-delivery","title":"VP - Lead Data Engineer, AI & Delivery","company":{"id":20709,"name":"Standard Chartered","domain":"sc.com","url":"https://alion.io/company/standard-chartered-gbs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":89,"open_postings":41,"ghost_share":0,"stale_share":0.659,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","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":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":56000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":99},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-16T18:54:20Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-23T16:37:01Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Job Summary\nLead the strategy, architecture and delivery of secure, scalable and resilient enterprise data platforms and AI-enabled solutions. The role combines deep data engineering expertise, applied AI leadership and end-to-end delivery accountability, translating business priorities into governed data products and production-ready AI capabilities while influencing product, architecture, security, risk, operations and engineering stakeholders.\nKey Responsibilities\nAct as a senior individual contributor with technical leadership and delivery accountability for enterprise data engineering and AI-enabled solutions.\nDefine and deliver modern data architectures covering ingestion, transformation, storage, processing, serving and consumption across batch, streaming and API-based patterns.\nLead the design and engineering of governed data products, reusable pipelines and curated datasets using cloud and distributed data technologies.\nShape and deliver AI and machine learning use cases, including data preparation, feature engineering, model integration, generative AI patterns and responsible AI controls.\nEstablish engineering excellence through code reviews, automated testing, DataOps/MLOps, CI/CD, observability, performance optimisation and production support.\nOwn delivery planning and execution across scope, milestones, dependencies, risks, resources, quality, operational readiness and measurable outcomes.\nPartner with senior business stakeholders, product owners and domain teams to define priorities, value measures, roadmaps and acceptance criteria.\nInfluence architecture, cyber security, data governance, model risk, privacy and operations stakeholders by communicating options, trade-offs and recommendations.\nPeople and Talent (for People Leader roles only)\nBuild and lead a high-performing, inclusive data engineering and AI team. Set clear objectives and delivery expectations aligned to business priorities, and hold colleagues accountable for outcomes, quality, risk management and conduct. Provide regular coaching, feedback and career development, including skills assessment, learning plans and opportunities that strengthen data engineering, AI, delivery and leadership capability. Own workforce and succession planning, including capacity, role clarity, talent deployment, hiring and retention of critical skills. Create a culture of collaboration, psychological safety, continuous improvement and responsible innovation. Recognise strong performance, address performance or behavioural concerns promptly and fairly, and support colleague wellbeing. Ensure the team operates in accordance with organisational policies, values, risk controls and regulatory obligations while building effective partnerships across business, product, architecture, security, risk and operations.\n\nExtensive experience delivering enterprise-scale data platforms and data products, with strong hands-on knowledge of data modelling, SQL, Python, distributed processing, batch and streaming pipelines, APIs, cloud platforms, containers and CI/CD. Demonstrated experience applying AI and machine learning capabilities in production, including MLOps, model integration, generative AI patterns, data governance and responsible AI controls. Proven delivery leadership across complex programmes, including roadmap ownership, estimation, dependency and risk management, operational readiness, stakeholder influence and production support.\n\nSkills and Experience\n\nEnterprise Data Engineering and Architecture\n\nAI Engineering, MLOps and Responsible AI\n\nData Delivery, DataOps and Production Reliability\n\nQualifications\nBachelor’s degree in information technology, Computer Science, Business Administration, or related field\nAbout Standard Chartered\nWe're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.\nOur purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.\nTogether we:\nDo the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do\nNever settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well\nAre better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term\nWhat we offer\nIn line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.\nCore bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.\n Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.\nFlexible working options based around home and office locations, with flexible working patterns.\nProactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits\nA continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.\n Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - 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