Senior Manager

Position Summary The Senior Manager, AI Product Management will lead the end-to-end strategy, planning, and delivery of AI/ML products and capabilities. This role is accountable for portfolio outcomes, cross-functional alignment, and adherence to responsible AI and compliance standards while mentoring a team of product managers.Primary ResponsibilitiesDefine the AI product strategy and roadmap aligned to business objectives and user needs.Prioritize initiatives based on ROI, feasibility, data readiness, and risk.Lead discovery, proof-of-concept and pilot initiatives, and general availability launches with clear stage gates.Partner with Data Science and Engineering on model lifecycle, evaluation, performance (latency/cost), and reliability (SLA/SLO).Establish robust observability: data and model drift, quality metrics, safety and hallucination monitoring, and feedback loops.Ensure compliance with privacy, security, and regulatory requirements (e.g., PII, GDPR/CCPA, SOC 2, and domain-specific standards).Drive cross-functional alignment with Design, Legal/Privacy/Security, Marketing, Sales, Customer Success, and Operations.Manage and develop product managers; set objectives, provide coaching, and support career progression.Lead go-to-market efforts including positioning, packaging, pricing, and field enablement.Minimum Qualifications7–10+ years of product management experience, including 4+ years in AI/ML or data products and 2+ years managing product managers.Demonstrated success delivering AI/ML or GenAI products at scale.Proficiency in AI/ML concepts (LLMs, RAG, agents, evaluation) and MLOps practices.Quantitative aptitude, including experiment design, metrics, and basic SQL; strong written and verbal communication.Experience with privacy, security, and responsible AI practices.Preferred QualificationsIndustry expertise in [e.g., financial services, healthcare, commerce, enterprise SaaS].Familiarity with modern AI infrastructure (vector databases, orchestration frameworks, GPUs) and cost/latency optimization.Experience with major cloud providers (AWS/GCP/Azure), data platforms (Snowflake/Databricks), and observability tools.Exposure to safety testing, red teaming, and content moderation.Advanced degree (MBA or technical field) preferred.Key Performance IndicatorsBusiness outcomes: revenue impact, conversion/retention, cost-to-serve, time-to-resolution.Product performance: adoption, activation, satisfaction (CSAT/NPS).AI quality: accuracy, hallucination rate, drift metrics, latency (p95), and cost per request.Initial 30-60-90 Day Objectives30 Days: Assess portfolio, data readiness, metrics, and risks; conduct stakeholder and customer discovery; identify priority opportunities.60 Days: Deliver a staged roadmap; establish evaluation and monitoring frameworks; align go-to-market plans.90 Days: Launch initial pilot/GA; operationalize monitoring and feedback mechanisms; publish governance artifacts About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.