Sr. Business Manager - Operational Risk Analytics and Strategy

Sr. Business Manager - Operational Risk Analytics and Strategy

Are you ready to help redefine the future of risk management? We are looking for a highly analytical and strategic Sr. Manager - Risk Analytics and Strategy to join our Operational Risk Management (ORM) team during a pivotal period of modernization. ORM is accelerating its evolution - moving beyond static, historical reporting toward predictive risk identification, advanced analytics, and dynamic, real-time decision-making.

In this high-impact role, you will sit at the intersection of business strategy, analytics modernization, and AI adoption. Crucially, you will serve as a core catalyst for modernizing our analytics capability - spearheading the cultural and operational adoption of AI, automation, and advanced data strategies. If you want to build the blueprint for next-generation risk management and work directly with senior executives to make it a reality, this role is for you.

General Responsibilities:

In this role, you will apply structured strategic thinking and data-driven insights to transform how our organization identifies, prioritizes, and manages risk globally. Your core responsibilities include:

• Modernizing Risk Analytics: Champion the transition from legacy, manual reporting to predictive and real-time risk analytics, leveraging advanced data strategy to deliver faster, actionable insights to the business

• Driving AI Adoption: Act as the strategic engine for AI integration within ORM. Identify, evaluate, and actively drive the hands-on adoption of AI-enabled tools, automated reasoning, and agentic workflows to eliminate process inefficiencies

• Strategic Initiative Leadership: Spearhead complex, high-visibility projects within ORM, partnering with business units across the enterprise to solve critical operational challenges and advance key strategic priorities

• Analytical Deep Dives: Conduct disciplined investigations into data gaps, emerging risk trends, and organizational bottlenecks to build compelling, data-backed recommendations for leadership

• End-to-End Execution & Change Leadership: Own the delivery of broad business and analytics initiatives, ensuring technical solutions are paired with robust change management plans to guarantee high user adoption and measurable business impact

• Partnership: Build and sustain collaborative relationships across ORM, technology, data science, and risk teams to ensure lockstep alignment on joint analytics priorities and strategic outcomes

• Executive-Ready Delivery: Synthesize complex strategic, operational, and AI/analytics concepts into clear, high-impact executive-ready strategy documents, board-level updates, and leadership recommendations.

• Solid people leadership experience: Ability to build and leverage the capabilities of a high-performing team, as well as business partners across the enterprise. He/she should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results

• Strong executive communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills

• Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment

• Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus

Basic Qualifications:

• Bachelor’s Degree

• At least 3 years of experience performing quantitative analysis

• At least 3 years of experience performing qualitative analysis

• At least 1 year of experience performing people management

• At least 1 year of experience performing project management

Preferred Qualifications:

• Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering

• Prior experience in management consulting or an internal corporate strategy role, with a proven ability to frame complex business cases and advise senior executives ​

• 5+ years of experience in quantitative analysis

• 5+ years of experience in qualitative analysis

• 2+ years of experience in people management