Senior Vice President, AI Innovation Lead

Job Description We are looking to hire a Senior Vice President, AI & Innovation Lead, to join our RCAR (Risk & Compliance Analytics & Reporting) team. This position is based in Pune, with an expectation of 4-5 days per week in the office. The role will report to a senior leader within Risk and Compliance Analytics & Reporting. Job: SVP- Data Management & Quantitative Analysis Manager In this role, youll make an impact in the following ways: Drive and contribute to the RCAR AI/Innovation strategy and roadmap aligned to enterprise risk priorities and RCAR tenets. Develop and manage a balanced portfolio of AI/ML use cases (predictive, prescriptive, GenAI, NLP) targeted at material risk and compliance outcomes. Drive rigorous prioritization based on business value, risk impact, feasibility, readiness, and time to value. Partner closely with ERM R&C AI Strategy & Framework to align with enterprise AI standards, controls, and risk frameworks; collaborate with Risk Engineering and RCAR domain A&R teams to integrate models into production workflows, optimize performance, and ensure resilience and observability. Lead and coordinate cross-functional squads to design, build, test, and deploy production-grade AI solutions; champion modern engineering practices, data quality, automated testing, and secure-by-design patterns. Contribute to and maintain reusable standards and assets (patterns, feature stores, prompt libraries, model cards) to accelerate delivery across RCAR. Drive adoption of robust MLOps practices for reliability and scale, integrating with enterprise data platforms across cloud/on-prem. Embed responsible AI principles throughout the lifecycle: explainability, fairness, privacy, security, auditability, and human in the loop controls. Align with BNY AI governance and model risk management processes; ensure documentation, controls, and approvals are complete prior to production. Serve as a trusted partner and advisor to risk and compliance leaders, translating domain needs into AI-driven solutions and measurable outcomes; support change management, training, and adoption with clear communications, playbooks, and enablement across regions and domains. Define and track KPIs/OKRs (e.g., cycle time, adoption/utilization, accuracy/precision, false positive/negative rates, control efficacy, cost to serve, latency/throughput, reliability/incident rates, risk decision uplift). Conduct post implementation reviews; continuously improve with feedback loops across ERM R&C, RCAR horizontal and domain teams, Risk Engineering, and AI Hub. To be successful in this role, were seeking the following: 812+ years in data science/AI/advanced analytics, with 35+ years leading AI programs, products, or delivery teams; prior experience in risk, compliance, audit, or financial services preferred. Proven track record delivering production grade AI/ML solutions with tangible business impact in regulated environments. Hands on understanding of ML (supervised/unsupervised), NLP/LLMs/GenAI, graph analytics, anomaly detection, time series, and decision intelligence. Strong command of MLOps (CI/CD for ML, model monitoring, drift management), data engineering, and model evaluation/validation; proficiency with Python and modern ML stacks; familiarity with cloud services, containerization, and orchestration; working knowledge of enterprise data platforms. Practical experience with responsible AI, model governance, documentation, validation, and audit readiness; privacy by design mindset. Experience with prompt engineering and LLM evaluation frameworks (e.g., guardrails, red teaming, offline/online evaluation), and with experiment design (A/B testing, hypothesis driven development). Strong stakeholder management and influence skills, with the ability to translate technical concepts into business outcomes for senior leaders, partners, and global delivery teams. Candidates should be prepared to present case studies of prior AI/ML initiatives, governance alignment, and measurable business outcomes. Bachelors degree required; advanced degree in a relevant discipline preferred. About Us At BNY, our culture allows us to run our company better and enables employees growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the worlds investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance and this is what is all about. Join us and be part of something extraordinary. About The Team At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom & BNY .