Senior Director, Commercial Decision Science, AI Strategy

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Lead the strategy for enterprise commercial data, analytics, AI, and decision intelligence.

• Develop long-term roadmaps, establish enterprise priorities, and create investment strategies for commercial intelligence capabilities.

• Oversee the creation and implementation of advanced analytical solutions across sales, forecasting, market development, customer success, and commercial operations.

• Construct and expand machine learning, predictive analytics, optimization, simulation, experimentation, and recommendation engines.

• Promote the use of generative AI, agentic AI, copilots, reasoning systems, knowledge discovery, and intelligent workflow automation.

• Set governance-by-design principles and enterprise standards for metadata, lineage, cataloging, master data, data quality, retention, access management, and business semantics.

• Manage definitions of enterprise KPIs, metric hierarchies, commercial data standards, and ensure semantic consistency.

• Facilitate governance councils and stewardship forums focused on commercial data and AI.

• Create predictive, prescriptive, and scenario-based decision-making frameworks and analytical assets.

• Spot growth opportunities, revenue risks, whitespace opportunities, customer trends, territory optimization chances, and sales execution gaps.

• Conduct executive business reviews utilizing forward-looking insights and recommendations.

• Counsel executive leadership on commercial performance, market dynamics, growth opportunities, resource allocation, AI readiness, risk exposure, maturity, and investments.

• Implement value-realization frameworks to measure adoption, business impact, and ROI.

• Oversee the commercial AI governance framework, focusing on model risk management, policies, controls, and standards.

• Establish responsible AI principles that encompass explainability, bias mitigation, transparency, human oversight, and model monitoring.

• Collaborate with Legal, Privacy, Compliance, Cybersecurity, and IT to meet regulatory requirements.

• Build and direct a world-class multidisciplinary team that covers data science, AI strategy, governance, business intelligence, and commercial analytics.

⛳️ Requirements

• A minimum of 12 years of progressive experience in decision science, data science, artificial intelligence, advanced analytics, commercial data strategy, data governance, or related disciplines.

• At least 7 years of leadership experience managing teams in data science, AI, analytics, governance, data strategy, or decision intelligence.

• Demonstrated success in applying predictive modeling, machine learning, optimization, experimentation, forecasting, causal analytics, and advanced analytics within commercial settings.

• Profound knowledge 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.

• Proven ability to translate complex analytical, governance, and AI concepts into executive-level recommendations and actionable business strategies.

• Solid business acumen with insight into commercial operations, revenue growth, sales effectiveness, customer engagement, and strategic planning.

• Experience working in global, matrixed organizations across various Business Units, Regions, and regulatory frameworks.

• An advanced degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Business Analytics, Information Systems, or a related field is required.

• Expertise in applied machine learning, statistical modeling, optimization, experimentation, decision science, and causal analytics.

• Experience implementing governance-by-design methodologies.

• Familiarity with building enterprise AI products and deploying models in production environments.

• Understanding of modern cloud analytics ecosystems, data product operating models, semantic layers, MDM, metadata management, and data quality tools.

• Background in establishing governance councils, stewardship forums, decision rights, and executive reporting mechanisms.

• Experience in MedTech, Life Sciences, Healthcare, or similarly regulated sectors is preferred.

🏝️ Benefits

• Comprehensive Total Rewards program.

• Opportunities for recognition and rewards.

• Competitive compensation and benefits package.

• Performance-driven culture.

• Opportunities for in-person collaboration and personal growth.