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<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Job Summary</b></H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• The Data & AI Lead is responsible for identifying, shaping, and delivering AI-enabled products that improve risk and compliance processes and deliver measurable business value.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• The role sits within the AI Centre of Excellence (CoE) and acts as the bridge between business, data, AI engineering, and governance teams, ensuring AI solutions are aligned to strategic priorities, deliver tangible outcomes, and are successfully adopted by business users.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• In addition to product ownership, the role drives process excellence and value realisation, ensuring AI initiatives generate measurable productivity, risk reduction, and operational efficiency improvements</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Key Responsibilities</b></H2> </div><div><p><span style="text-decoration:underline"><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Strategy</span></strong></span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Define and maintain the Data & AI capability strategy and product roadmap for Risk & Compliance, ensuring AI initiatives are aligned to business priorities, enterprise AI direction and measurable value outcomes.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Own the AI use case portfolio across assisted, enabled, generative and agentic automation, ensuring a coherent path from ideation to prioritisation, design, delivery, adoption, scale and retirement.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Partner closely with respective Product Owners, Business Owners and Process Owners to review the full product and process journey, identifying where AI, data, automation and analytics can materially improve productivity, risk outcomes, user experience and decision quality.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Lead structured opportunity discovery across products and processes to identify areas where process engineering through AI and data tools can deliver substantial qualitative and quantitative benefits, including cycle-time reduction, effort elimination, quality improvement, control uplift and improved decision support.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Continuously challenge existing ways of working and push the boundaries of imagination with business stakeholders by bringing practical ideas on GenAI, agentic AI, workflow automation, data intelligence and reusable AI capability patterns.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Support strategic buy, build, reuse or partner decisions for AI capabilities, ensuring investment is directed towards scalable, reusable and value-accretive solutions.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Maintain a centralised AI backlog and product pipeline that balances business value, feasibility, risk, complexity, user adoption, delivery capacity and strategic relevance.</span><br><span style="text-decoration:underline"><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Business</span></strong></span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Act as the primary business-facing lead for AI capability development, building trusted relationships with Product Owners, Business Owners, SMEs and senior stakeholders to identify, shape and deliver AI-enabled business transformation.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Work with product and business owners to assess the entire product journey, including upstream inputs, workflow steps, decision points, controls, handoffs, pain points, downstream outputs and user experience</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"></H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Translate business challenges into clear, outcome-led AI opportunities, ensuring each use case has a defined problem statement, target user group, expected benefit, success measure and adoption pathway.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Lead process and value analysis to determine where AI and data tools can generate measurable business impact, including productivity gains, cost avoidance, improved quality, better risk detection, reduced manual intervention and enhanced decision-making.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Quantify expected benefits before implementation and track realised benefits after deployment, covering both quantitative measures such as time saved, volume processed, cost avoided and cycle-time reduction, and qualitative outcomes such as improved user confidence, better insights, stronger controls and improved service experience.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Enable product and business owners to reimagine how work can be performed using AI, including GenAI assistants, copilots, agentic workflows, intelligent triage, automated summarisation, insight generation and decision-support tools.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Ensure AI products are business-relevant, user-centred, measurable, scalable and designed to deliver sustained adoption rather than isolated experimentation.</span><br><span style="text-decoration:underline"><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Processes</span></strong></span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Establish and operate a structured AI product lifecycle covering intake, opportunity discovery, journey review, prioritisation, requirements definition, design, development oversight, deployment readiness, adoption, value tracking and continuous improvement.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Facilitate end-to-end product journey and process engineering reviews with Product Owners and Business Owners to identify friction, duplication, manual effort, control gaps, rework, delays and decision bottlenecks that can be improved through AI and data-enabled solutions.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"></H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Convert business and process opportunities into well-defined product artefacts, including product requirement documents, user journeys, process maps, feature definitions, prioritisation criteria, value hypotheses and delivery roadmaps.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Work closely with AI engineering, data and analytics teams, GenAI prompt specialists, governance teams and business SMEs to ensure AI solutions are designed and delivered against clearly defined business outcomes.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Oversee use case delivery from ideation through deployment, ensuring delivery progress, dependencies, risks, milestones, design decisions, readiness activities and business adoption plans are actively managed.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Define and maintain value measurement approaches, including baseline metrics, benefit assumptions, productivity scorecards, adoption dashboards, value realisation tracking and portfolio performance reporting.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Use feedback from users, adoption metrics, operational outcomes, process performance and governance inputs to continuously improve AI products, backlog priorities and product journey design.</span><br><span style="text-decoration:underline"><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">People & Talent</span></strong></span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Build and own strong working relationships with Product Owners, Business Owners, Process Owners, Technology, Data, Risk, Compliance and AI Governance teams to create a shared agenda for AI-enabled transformation.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Act as a trusted advisor to business teams by helping them understand what is possible with AI, GenAI, agentic AI, data products and automation, while translating ambition into practical, deliverable and governed use cases.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Facilitate ideation sessions, product clinics, journey walkthroughs and design workshops that encourage stakeholders to rethink how processes, controls and decisions could be redesigned using AI and data.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Build confidence and adoption across business teams by partnering with learning, engagement and change teams to deliver training, demos, playbooks, engagement plans and user enablement activities.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Promote a product and value-led mindset across AI delivery teams, ensuring teams remain focused on user outcomes, measurable impact, adoption, continuous improvement and responsible innovation.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Encourage a culture of curiosity, experimentation and disciplined execution, where teams are empowered to challenge legacy processes and explore ambitious but controlled uses of AI.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Support the development of AI fluency across business stakeholders by sharing reusable examples, emerging use cases, lessons learned and practical patterns for applying AI to real business problems.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"></H2> </div><div><p><span style="text-decoration:underline"><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Risk Management</span></strong></span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Ensure AI use cases are shaped and delivered in line with enterprise AI governance, responsible AI, data, risk, compliance, security and regulatory expectations.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Work with Product Owners and Business Owners to identify risks across the full product journey, including process risks, control gaps, data risks, adoption risks, operational risks, model risks and inappropriate automation risks.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Partner with AI Governance, Risk, Compliance and assurance teams to ensure appropriate validation, explainability, bias assessment, control requirements, monitoring inputs and approval evidence are built into product delivery.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Ensure AI-enabled process engineering does not compromise control effectiveness, accountability, data integrity, customer outcomes, regulatory expectations or operational resilience.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Identify and manage delivery risks, dependency risks, value realisation risks, user adoption risks and operational readiness risks across the AI portfolio, escalating material issues where required.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Ensure AI products are implemented with appropriate human oversight, usage boundaries, business readiness, control documentation, monitoring inputs and feedback mechanisms to support sustainable and controlled use.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Use qualitative and quantitative performance insights to identify where deployed AI products may require refinement, additional controls, retraining, user education, redesign or retirement.</span><br><span style="text-decoration:underline"><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Governance</span></strong></span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Maintain transparent governance over the AI product portfolio, including roadmap status, prioritisation decisions, product journey reviews, delivery progress, adoption performance, value realisation and key risks.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Ensure each AI use case has clear ownership across Product Owner, Business Owner, delivery team and governance stakeholders, with defined accountability for business outcomes, adoption, controls and value tracking.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Provide regular reporting to senior stakeholders and governance forums through AI portfolio dashboards, value dashboards, ROI tracking reports, adoption metrics and portfolio performance updates.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"></H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Support governance forums with evidence-based recommendations on prioritisation, investment, scaling, remediation, redesign or retirement of AI products.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Maintain disciplined portfolio controls so AI initiatives are traceable, measurable, outcome-led and aligned to business priorities, responsible AI expectations and enterprise governance standards.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Ensure product journey reviews, benefit cases, design decisions, user impacts, adoption evidence and value realisation outcomes are appropriately documented and available for management review.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Create a continuous improvement governance loop where feedback from Product Owners, Business Owners, users, delivery teams and governance stakeholders is used to refresh the roadmap, backlog, adoption approach and value strategy.</span><br><span style="text-decoration:underline"><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Key Deliverables</span></strong></span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• AI product roadmap & portfolio backlog (including generative & agentic AI initiatives) aligned to Risk & Compliance strategic priorities.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• End-to-end process re-engineering blueprint co-created with product/business owners (leveraging generative & agentic AI) to transform key Risk & Compliance processes.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Central AI use case intake & prioritization framework ensuring value-driven selection and disciplined stage-gate development of AI solutions.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• AI adoption strategy & integration plan (with clear adoption KPIs) to drive and measure widespread usage of new AI and data tools across Risk & Compliance teams.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Business enablement playbook & training modules to build R&C team proficiency and trust in advanced AI tools (e.g., generative & agentic AI solutions).</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• AI value measurement framework & dashboards tracking qualitative and quantitative benefits (productivity, risk reduction, ROI) delivered by deployed AI initiatives.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• AI governance compliance documentation and requisite risk & compliance approvals for each AI product, evidencing Responsible AI and regulatory adherence.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Executive portfolio performance reports for R&C leadership highlighting AI-driven value creation, adoption progress, and future advanced AI opportunities. </span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"></H2> </div><div><p><span style="text-decoration:underline"><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Regulatory & Business Conduct</span></strong></span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Display exemplary conduct and live by the Group’s Values and Code of Conduct. </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.</span><br><span style="text-decoration:underline"><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Key Stakeholders</span></strong></span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• AI Engineering Solution development</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Data & Analytics Data products and datasets</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• GenAI Specialists Prompt design and context engineering</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• AI Assurance Model validation and governance</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• AI Operations Monitoring and lifecycle management</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Business Units AI adoption and value realisation</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Skills and Experience</b></H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Experience in product management, data analytics, or digital transformation</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Strong knowledge of risk, compliance, or financial services operations</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Ability to operate at the intersection of business, data, and technology</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Strong stakeholder engagement and strategic thinking capabilities</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>About Standard Chartered</b></H2> </div><div><p>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.</p> <p>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.</p> <p>Together we:</p> <ul> <li><b>Do the right thing</b> and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do</li> <li><b>Never settle,</b> continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well</li> <li><b>Are better together,</b> we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>What we offer</b></H2> </div><div><p><b>In line with our Fair Pay Charter,</b> we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.</p> <ul> <li><b>Core bank funding for retirement savings, medical and life insurance,</b> with flexible and voluntary benefits available in some locations.</li> <li><b>Time-off</b> 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.</li> <li><b>Flexible working</b> options based around home and office locations, with flexible working patterns.</li> <li><b>Proactive wellbeing support</b> 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</li> <li><b>A continuous learning culture</b> to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.</li> <li><b>Being part of an inclusive and values driven organisation,</b> one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.</li> </ul></div></div></div>

Data & AI Ops Lead (Chennai, IN)