Senior Vice President – Operations Analytics

• Define and execute the Operations Analytics strategy, aligned with business objectives, customer outcomes, and risk priorities
• Act as a trusted analytics advisor to senior Operations leadership, influencing decision‑making through data‑driven insights
• Identify and prioritize high‑impact opportunities where analytics and AI can deliver measurable improvements in operational performance
• Lead development of advanced analytics solutions addressing core Operations challenges, including: Cost reduction and efficiency improvement
• Productivity, capacity, and demand optimization
• Customer experience enhancement
• Operational risk identification and mitigation
• Translate ambiguous business problems into structured analytical approaches and repeatable solution frameworks
• Ensure insights are actionable, commercially grounded, and clearly linked to business outcomes
• Drive the responsible adoption of AI, machine learning, and advanced analytical techniques within Operations Analytics
• Partner with stakeholders to move AI from experimentation to scaled, embedded usage in operational decision‑making
• Champion explainable, ethical, and risk‑aware use of AI in analytics solutions
• Stay abreast of emerging analytics and AI trends to ensure the function remains future‑ready and relevant
• Build and maintain strong relationships with senior stakeholders across Operations and Business teams globally
• Independently manage complex stakeholder engagements—from problem framing to insight delivery and execution tracking
• Influence cross‑functional teams to adopt analytics‑ and AI‑driven decision practices
• Own end‑to‑end analytics delivery across a multi‑layered team in a highly matrixed environment
• Ensure consistent standards of quality, timeliness, and business impact across all analytics initiatives
• Balance short‑term execution priorities with long‑term strategic capability building
• Build and sustain a forward‑compatible Operations Analytics organization with strengths in: Advanced analytics and problem solving
• AI / ML and emerging analytical techniques
• Deep operations and business domain expertise
• Lead and manage teams of 20+ analytics professionals, including people managers
• Attract, develop, and retain top analytics talent
• build leadership depth and succession readiness
• Mentor leaders and teams to strengthen analytical rigor, business acumen, and executive storytelling
• Foster a high‑performance culture centered on ownership, innovation, continuous learning, and ethical judgment
• Ensure analytics and AI solutions appropriately consider operational risk, regulatory expectations, and control requirements
• Partner with risk and control teams to support safe, compliant, and transparent analytics‑led decision‑making
• Escalate and manage risks and control issues responsibly, with a strong focus on the firm’s reputation and client outcomes

• 15+ years of overall experience
• 10+ years in analytics roles, preferably supporting Operations
• 6+ years of experience leading analytics teams in complex, matrixed organizations
• Strong background in financial services / consumer banking operations
• Proven track record of delivering measurable business impact through analytics
• Deep understanding of operational metrics, cost drivers, customer journeys, and operational risk indicators
• Expertise in operations analytics, performance optimization, and structured problem solving
• Ability to synthesize large, complex datasets into clear insights that drive action
• Experience designing scalable and repeatable analytical frameworks
• Familiarity with advanced analytics techniques, including predictive modeling and AI/ML concepts
• Strong strategic mindset with a bias for execution and results
• Executive presence with exceptional communication and stakeholder‑influencing skills
• Ability to lead through ambiguity and operate effectively in fast‑paced environments
• High level of ownership, accountability, and commercial judgment
• Required: Bachelor’s degree in a quantitative or analytical discipline (Engineering, Statistics, Mathematics, Economics, Computer Applications, Information Systems)

Preferred: MBA or Master’s degree in Analytics, Economics, Operations Research, Management Science, or related fields from a premier institute