BNY - Director - AI & Innovation Lead - Risk & Control Function

Director - AI & Innovation Lead - Risk & Control Function (10-15 yrs)

We are looking for someone who had deep exp in AI, ML, NLP and has written and optimized any algorithms

Job Synopsis:

Director, AI & Innovation Lead, Risk & Compliance Analytics and Reporting

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the worlds financial system we touch nearly 20% of the worlds 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 #LifeAtBNY 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 will 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 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 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.

- 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/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.

- Act as a trusted advisor to risk and compliance leaders, translating domain needs into AI-driven 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, 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:

- 10- 12+ years in data science/AI/advanced analytics, with 5+ years leading AI programs/products at scale; 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).

- 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.

- Bachelors 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 , BNY LinkedIn

Heres a few of our awards:

- Americas Most Innovative Companies, Fortune, 2024

- Worlds 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 lifes 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.