Executive Director, CASA, Portfolio & Forecasting AI

Executive Director, CASA, Portfolio & Forecasting AIThe Executive Director, CASA, Portfolio & Forecasting AI is responsible for designing, building, and scaling AI-driven forecasting products and decisioning capabilities that power Bristol Myers Squibb's portfolio planning, brand forecasting, and financial outlook.Position SummaryThe role owns the end-to-end AI product roadmap for demand, inventory, and Gross-to-Net (GTN) forecasting—from data ingestion and model development to deployment, monitoring, and closed-loop learning—ensuring accuracy, transparency, and explainability across brands and markets. As a senior leader in the AI & Omnichannel organization, the executive partners closely with Finance, Commercial Operations, Market Access, Supply/Inventory, and BI&T to modernize the forecasting tech stack, embed predictive and generative AI, and institutionalize governance that meets audit, compliance, and risk standards.Key ResponsibilitiesEnterprise Forecasting AI Strategy & Roadmap Define and own the multi-year product strategy for AI-enabled forecasting (Demand, Inventory, GTN) with clear business outcomes, KPIs, and adoption milestones.Align the roadmap to enterprise planning cycles, therapeutic-area launch timelines, and AI & Omnichannel priorities; maintain a portfolio lens across brands and markets.Quantify value (accuracy lift, cycle-time reduction, transparency) and prioritize investments (models, data, tooling, MLOps).AI Product Ownership – Demand, Inventory, and GTN Manage and co-own AI forecasting products (modules, services, APIs) across Gross Demand, Inventory Management, and GTN transformation.Translate business requirements into product backlogs, release plans, and SLAs; ensure explainability and diagnostics are first-class features.Govern model lifecycle (development, validation, approval, deployment, monitoring, retraining) with BI&T and Finance; establish champion-challenger testing and drift detection.Data, Architecture & MLOps Enablement & Collaboration with BI&T Technology Team Partner with BI&T to secure the right pipelines and platforms (cloud data warehouse/lake, semantic layers, feature stores, orchestration) for scalable forecasting AI.Enforce interoperability with planning tools, inventory inputs, and enterprise reporting layers; design APIs for downstream consumption.Governance, Compliance & Risk Management Establish forecasting model governance documentation, sign-offs, versioning, audit trails, and regulatory/privacy controls.Create business-rule frameworks (e.g., demand drivers, GTN rate/mix assumptions, inventory policies) with controlled change management.Run risk assessments for key models/processes; implement mitigation strategies for data gaps, drift, and policy changes.Portfolio Planning, Scenarios & Explainability Lead portfolio-level scenario planning (pricing, payer shifts, policy changes, supply constraints) using AI simulations and sensitivity analysis.Deliver explainable AI artifacts (feature importance, stability metrics, back-testing, variance explanations) for executive and Finance stakeholders.Institutionalize closed-loop learning—link forecasts, actuals, and adjustments to improve models and business rules over time.Stakeholder Partnership & Adoption Serve as the single point of accountability for forecasting AI across Finance, Commercial Operations, Market Access, Supply/Inventory, BI&A, BI&T, and TA leaders.Drive adoption via training, playbooks, office hours, and executive readouts; publish recurring forecast-quality dashboards and action-oriented commentary.Team Leadership & Vendor Ecosystem Build and lead a high-performing forecasting AI cross-matrix team (product managers, data scientists, ML engineers, model risk) across HQ and offshore; set a culture of rigor, transparency, and impact.Manage vendors/partners (data sources, planning platforms, model-ops tools); enforce SLAs and value realization.Qualifications, Skills & Experience12+ years in pharmaceutical, healthcare, or adjacent industries with deep experience in forecasting, planning, and AI/ML product management.Bachelor's degree required; advanced degree (MS, PhD, MBA) in Data Science, AI, Statistics, Operations Research, Economics, Applied Mathematics, or a related quantitative field strongly preferred.Proven track record of leading, developing, and deploying AI-driven forecasting initiatives at scale with measurable improvements in accuracy, efficiency, and business impact.Deep understanding of demand, inventory, and GTN modeling with familiarity of hybrid planning ecosystems such as Anaplan.Experience partnering with Finance, Commercial Operations, Market Access, Supply/Inventory, and BI&T to shape forecasting strategy and portfolio decisions.Drive cross-functional leadership across data science, product, ML engineering, and risk teams, leveraging data architecture and MLOps expertise.Advanced proficiency in time-series modeling, hierarchical forecasting, causal inference, simulation/optimization, and scenario planning.Proficiency with Python, R, SQL, cloud ML platforms, and enterprise BI tools (e.g., Tableau, Power BI) for forecast visualization and variance tracking.Strategic agility with a bias for action; balances MVP speed with governance, audit readiness, and long-term scalability.Exceptional communication and data-storytelling skills; able to translate complex model outputs into actionable insights for senior stakeholders.Experience influencing senior leaders, driving enterprise change, and fostering a culture of innovation, rigor, and transparency.Experience managing vendor/partner relationships, including data sources, planning platforms, and model-ops tools.Leadership AttributesStrategic Collaborator – Trusted advisor to senior executives, bridging insights, strategy, and execution.Customer-First Mindset – Champions understanding and serving customers across all engagement touchpoints.Enterprise Leader – Balances BU-specific needs with broader enterprise priorities and capabilities.Innovative Thinker – Anticipates future trends and applies new tools and technologies to strengthen engagement.Empowering Collaborator – Builds high-performing teams and develops future leaders across the organization.Compensation Overview$273,870 – $331,866 (full-time employee basis). Additional incentive cash and stock opportunities may be available.BenefitsHealth Coverage – Medical, pharmacy, dental, and vision care.Well-being Support – BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs.Financial Well-being – 401(k) plan, disability, life insurance, accident and supplemental health insurance, business travel protection, personal liability protection, identity-theft benefit, legal support, and survivor support.Paid Time Off – US exempt employees: unlimited time off with manager approval, 11 paid national holidays (certain exclusions). Phoenix, AZ, Puerto Rico, and Rayzebio exempt/non-exempt hourly employees: 160 hours annual paid vacation, 11 national holidays, and optional holidays. Additional options include unlimited paid sick time, volunteer days, summer hours flexibility, leaves of absence, and an annual global shutdown.On-site ProtocolOccupancy type determines work location: site-essential, site-by-design, field-based, and remote-by-design. Site-essential roles require 100% onsite shifts. Site-by-design roles may include a hybrid model with at least 50% onsite. Field-based and remote-by-design roles require travel to customers, patients, or business partners as an essential function.Supporting People With DisabilitiesBMS is dedicated to ensuring applicants with disabilities can excel through a transparent recruitment process and reasonable accommodations. Contact adastaffingsupport@bms.com for inquiries.Candidate RightsBMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws. For Los Angeles County hires, additional information is available on our careers site.Data ProtectionPayments, financial information, or social-security numbers will not be requested. All data processed during recruitment will be treated in accordance with applicable privacy policies and regulations.Equal Employment OpportunityBMS is an equal-opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or genetic information.Requisition NumberR1599483 – Executive Director, CASA, Portfolio & Forecasting AIJ-18808-Ljbffr