At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world's financial system we touch nearly 20% of the world's investible assets. Every day around the globe, our 50,000; employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.
We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about.
We are looking to hire a Director, AI & Innovation Lead, to join our RCAR (Risk & Compliance Analytics & Reporting) team. This position is based in Pune/Chennai, with an expectation of 4-5 days per week in the office. The role will report to the Global Head of Risk and Compliance Analytics & Reporting.
In this role, you'll make an impact in the following ways:
- Define the RCAR AI/Innovation strategy and roadmap aligned to enterprise risk priorities and RCAR tenets.
- Establish 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 timetovalue.
- 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 crossfunctional squads to design, build, test, and deploy productiongrade AI solutions; champion modern engineering practices, data quality, automated testing, and secure-by-design patterns.
- Create and maintain reusable standards and assets (patterns, feature stores, prompt libraries, model cards) to accelerate delivery across RCAR.
- Establish robust MLOps for reliability and scale (versioning, pipelines, monitoring, drift detection, retraining), integrating with enterprise data platforms across cloud/onprem.
- Embed responsible AI principles throughout the lifecycle: explainability, fairness, privacy, security, auditability, and humanintheloop controls.
- Align with BNY AI governance and model risk management processes; ensure documentation, controls, and approvals are complete prior to production.
- Act as a trusted advisor to risk and compliance leaders, translating domain needs into AIdriven solutions and measurable outcomes; drive 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, falsepositive/negative rates, control efficacy, costtoserve, latency/throughput, reliability/incident rates, risk decision uplift).
- Conduct postimplementation 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, we're seeking the following:
- 1012 years in data science/AI/advanced analytics, with over 5 years leading AI programs/products at scale; prior experience in risk, compliance, audit, or financial services preferred.
- Proven track record delivering productiongrade AI/ML solutions with tangible business impact in regulated environments.
- Handson understanding of ML (supervised/unsupervised), NLP/LLMs/GenAI, graph analytics, anomaly detection, timeseries, 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; privacybydesign mindset.
- Experience with prompt engineering and LLM evaluation frameworks (e.g., guardrails, redteaming, offline/online evaluation), and with experiment design (A/B testing, hypothesisdriven development).
- Excellent stakeholder management and influence skills; able to translate technical concepts into business outcomes for senior leaders and global teams.
- Candidates should be prepared to present case studies of prior AI/ML initiatives, governance alignment, and measurable business outcomes.
- Bachelor's degree required; advanced degree in a relevant discipline preferred.
At BNY, our culture speaks for itself, check out the latest BNY news at:
BNY Newsroom
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Here's a Few Of Our Awards
- America's Most Innovative Companies, Fortune, 2024
- World's Most Admired Companies, Fortune 2024
- Most Just Companies, Just Capital and CNBC, 2024
Our Benefits And Rewards
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
