Senior Director, Commercial Decision Science, AI Strategy

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $191.9k - $307.1k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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BD

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1897

🏥 Healthcare

🏭 Manufacturing

⚕️ Healthcare Insurance

💰 $24M Grant on 2020-07

Healthcare • Manufacturing • Healthcare Insurance

BD (Becton, Dickinson and Company) is a global medical technology company dedicated to advancing the world of health. It focuses on developing innovative technologies, services, and solutions to improve safety and efficiency in healthcare. BD offers a wide range of products including medication management solutions, surgical solutions, cervical cancer screening, drug delivery systems, and laboratory services. The company is also involved in infection risk management and provides advanced clinical insights to enhance patient outcomes. With a commitment to global health sustainability and social investing, BD is a leader in healthcare technology and services worldwide.

📋 Description

• Own the enterprise commercial data, analytics, AI, and decision intelligence strategy • Define long-term roadmaps, enterprise priorities, and investment strategies for commercial intelligence capabilities • Lead development and deployment of advanced analytical solutions across sales, forecasting, market development, customer success, and commercial operations • Build and scale machine learning, predictive analytics, optimization, simulation, experimentation, and recommendation engines • Drive adoption of generative AI, agentic AI, copilots, reasoning systems, knowledge discovery, and intelligent workflow automation • Establish governance-by-design principles and enterprise standards for metadata, lineage, cataloging, master data, data quality, retention, access management, and business semantics • Govern enterprise KPI definitions, metric hierarchies, commercial data standards, and semantic consistency • Lead governance councils and stewardship forums for commercial data and AI • Develop predictive, prescriptive, and scenario-based decision-making frameworks and analytical assets • Identify growth opportunities, revenue risks, whitespace opportunities, customer trends, territory optimization opportunities, and sales execution gaps • Drive executive business reviews using forward-looking insights and recommendations • Advise executive leadership on commercial performance, market dynamics, growth opportunities, resource allocation, AI readiness, risk exposure, maturity, and investments • Establish value-realization frameworks measuring adoption, business impact, and ROI • Own the commercial AI governance framework, including model risk management, policies, controls, and standards • Establish responsible AI principles covering explainability, bias mitigation, transparency, human oversight, and model monitoring • Partner with Legal, Privacy, Compliance, Cybersecurity, and IT on regulatory requirements • Build and lead a world-class multidisciplinary team spanning data science, AI strategy, governance, business intelligence, and commercial analytics

🎯 Requirements

• 12+ years of progressive experience in decision science, data science, artificial intelligence, advanced analytics, commercial data strategy, data governance, or related fields • 7+ years of leadership experience leading data science, AI, analytics, governance, data strategy, or decision intelligence teams • Proven success applying predictive modeling, machine learning, optimization, experimentation, forecasting, causal analytics, and advanced analytics in commercial environments • Deep understanding of commercial data governance, metadata management, lineage, data quality, access controls, privacy, compliance, and enterprise risk management • Strong understanding of GenAI, LLMs, agentic systems, retrieval-augmented generation, and intelligent automation • Experience translating complex analytical, governance, and AI concepts into executive-level recommendations and business actions • Strong business acumen and understanding of commercial operations, revenue growth, sales effectiveness, customer engagement, and strategic planning • Experience operating within global, matrixed organizations across multiple Business Units, Regions, and regulatory environments • Advanced degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Business Analytics, Information Systems, or related field required • Expertise in applied machine learning, statistical modeling, optimization, experimentation, decision science, and causal analytics • Experience implementing governance-by-design approaches • Experience building enterprise AI products and deploying models into production environments • Understanding of modern cloud analytics ecosystems, data product operating models, semantic layers, MDM, metadata management, and data quality tooling • Experience establishing governance councils, stewardship forums, decision rights, and executive reporting mechanisms • Experience in MedTech, Life Sciences, Healthcare, or similarly regulated industries preferred

🏖️ Benefits

• Comprehensive Total Rewards program • Reward and recognition opportunities • Competitive package of compensation and benefits programs • Performance-based culture • Face-to-face collaboration and opportunities to learn, grow and thrive