VP - Lead Data Engineer, AI & Delivery

Standard Chartered India; Chennai; Hybrid; INR 400,000 - 1,100,000; Full time

Benefits offered by this job

Retirement savings

Annual leave & parental leave

Flexible working options

Wellbeing support (Unmind)

Learning and reskilling

Inclusive culture

Job summary

Standard Chartered India is seeking a seasoned leader to drive the strategy, architecture, and delivery of secure, scalable enterprise data platforms and AI-enabled solutions in Chennai. The role blends deep data engineering expertise with applied AI leadership and end-to-end delivery accountability, translating business priorities into governed data products and production-ready AI capabilities.

You will own delivery planning, collaborate with senior stakeholders, and ensure governance,

Qualifications

• Bachelor’s degree in information technology, Computer Science, Business Administration, or related field.

Responsibilities

• Act as a senior individual contributor with technical leadership and delivery accountability for enterprise data engineering and AI-enabled solutions.
• Define and deliver modern data architectures covering ingestion, transformation, storage, processing, serving and consumption across batch, streaming and API-based patterns.
• Lead the design and engineering of governed data products, reusable pipelines and curated datasets using cloud and distributed data technologies.
• Shape and deliver AI and machine learning use cases, including data preparation, feature engineering, model integration, generative AI patterns and responsible AI controls.
• Establish engineering excellence through code reviews, automated testing, DataOps/MLOps, CI/CD, observability, performance optimisation and production support.

Skills

Data engineering

AI engineering

Data delivery

MLOps

Education

Bachelor's degree in IT/CS/Business

Job description

Job Summary

Lead 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.

Key Responsibilities

• Act as a senior individual contributor with technical leadership and delivery accountability for enterprise data engineering and AI-enabled solutions.
• Define and deliver modern data architectures covering ingestion, transformation, storage, processing, serving and consumption across batch, streaming and API-based patterns.
• Lead the design and engineering of governed data products, reusable pipelines and curated datasets using cloud and distributed data technologies.
• Shape and deliver AI and machine learning use cases, including data preparation, feature engineering, model integration, generative AI patterns and responsible AI controls.
• Establish engineering excellence through code reviews, automated testing, DataOps/MLOps, CI/CD, observability, performance optimisation and production support.
• Own delivery planning and execution across scope, milestones, dependencies, risks, resources, quality, operational readiness and measurable outcomes.
• Partner with senior business stakeholders, product owners and domain teams to define priorities, value measures, roadmaps and acceptance criteria.
• Influence architecture, cyber security, data governance, model risk, privacy and operations stakeholders by communicating options, trade-offs and recommendations.

People and Talent (for People Leader roles only)

Build 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.

• Extensive 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.

Skills And Experience

Enterprise Data Engineering and Architecture

AI Engineering, MLOps and Responsible AI

Data Delivery, DataOps and Production Reliability

Qualifications

• Bachelor’s degree in information technology, Computer Science, Business Administration, or related field

About Standard Chartered

We’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.

Our 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.

Together We

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do.
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well.
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term.

What We Offer

In line with our Fair Pay Charter,

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• 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.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive 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.
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.