Position Summary

The newly formed Global Sales Operations & Effectiveness organization is leading the transformation of sales capabilities, positioning BD to become the strongest commercial organization in MedTech. TheVP, Global Sales Intelligencewill report to the SVP, Sales Operations & Effectiveness and serve asglobal owner of commercial data &analyticsand the enterprise leader for AI enablement in sales — operationalizing decision intelligence at scale, building a highperforminganalyticsoperating model, and translating algorithmic impact into measurable business outcomes acrossBusiness Units and Regions.

The candidate will lead and inspire theglobal commercial dataandanalyticsstrategy, driving data standardization, integration, and advancedanalyticsacross allsalesfunctions. This leader will empower the sales, marketing, and customer success organizations withaccurateforecasting,actionable insights, predictiveanalytics, and robust data governance, enabling data-driven decision-making andrevenuegrowth. Thecandidatewill champion the adoption ofAI andinnovativeanalyticssolutions, ensure compliance with privacy and security regulations, and foster a high-performing, data-centric culture across the enterprise.

Key Responsibilities

Data Strategy,Governance& Risk Management

• Define and implement a global commercial data strategy, ensuring alignment with businessobjectivesand integration across CRM, ERP, andanalyticsplatforms.

• Lead the development and execution of data governance frameworks, ensuring data quality, integrity, and compliance with regulations (e.g., GDPR, HIPAA).

• Oversee the management and evolution of the commercial data ecosystemto enable visibility to customer demand and empowersaleassociates to understand customer needs. PlatformsincludeSalesforce, Master Data,PowerBI, and emerging technologies.

• Establish and enforce data standards, policies, and best practices for data management andanalyticsacross the commercial organization.

• Partner closely with Global Business Services (GBS), Business Units, and Regions to overhaul standards(process, systems, tools)for customer master data, ensuring accuracy and effectiveness in salesoperations.

• Own the enterprise AI strategy for commercial, including model portfolio management (predictive, prescriptive, GenAI), andLLMOpsfor safe, scalable deployment.

• Stand up self-serviceanalyticsand governed semantic layers so commercial teams can access trusted insights on demand.

• Partner with IT to embed AI services into the core tech stack (feature stores, model registries, CI/CD for ML, observability) with clear RACI across business/IT.

• Implement responsible AI controls (bias testing, drift monitoring, explainability, human-in-the-loop decisioning) and integrate with data governance councils and InfoSec.

AdvancedAnalytics& Insights

• Move the organization from traditional business intelligence to decision intelligence, integratinganalyticswith workflow automation (e.g., next best action in CRM, dynamic pricing recommendations in CPQ).

• Establish closed-loop impact measurement— link models and insights to P&L metrics (win rates, cycle times, attach rates, margin lift).

• Be a thought leader on all things AI— partnering withIT, Finance,and GBS to develop novelGenAIandAgentic AIsolutionswithnewcapabilitiesthatleveragea ChatGPT and Claude-style approach where users can type inquestions andsee real-timeanalyticsas responses. 

• Drive the development of advancedanalyticmodelsto visualize the runratebusiness across Business Units and Regions. Enableaccurateandtimelyunderstanding offorecasting, pipeline health, revenue optimization,pricing,and customer segmentation.

• Translate complex data into actionable insights for commercial leaders and cross-functional teams, supporting strategic planning and operational improvements.

• Deliver real-time KPIs and dashboards to enable executive decision-making andmonitorsales process health.

• Championdiagnostic,predictive,and prescriptiveanalyticstoidentifygrowth opportunities andoptimizeresource allocation.

• Define and manage commercial data products (e.g., opportunity health, price elasticity, account potential) with product owners, versioning, andlifecyclegovernance. 

Commercial Enablement & Collaboration

• Partner with Sales, Marketing, Finance,HR,andITteams to develop and deploy data-driven tools and solutions that enhance commercial effectiveness.

• Collaborate withFinance andbusiness leaders to develop predictive toolsleveragingsales funnel data for budgeting, risk management, and strategic initiatives.

• Lead the definition and documentation of key commercial metrics and business logic, ensuring clarity, consistency, and accuracy across all data outputs. 

Leadership, Collaboration & Change Management

• Build, lead, and mentor a high-performing team ofdataanalysts, data scientists, and data engineers.

• Define governance structures, best practices, and standards to be used by dataanalysts throughout the Business Units and Regions.

• Foster a culture ofdataexcellence, continuous learning, and innovation.

• Act as a trusted advisor to the executive team, influencing enterprise-wide decisions on commercialdata strategyandanalyticsinvestments. 

• Partner withBusinessUnitPresidents andRegionalLeadersto address local needs and prioritize initiatives.

• Work closely withBusinessUnitandRegionalLeadersto drive adoptionof new standards (tools, processes, systems)and change management across the organization.

Qualifications

• 10+ years of progressive leadership experience in commercial data,analytics, or related fields, preferably within technology, MedTech, or similarly regulated sectors.Deep understanding of what great commercialanalyticsand insights look like and how to transfer and enable that capability on a global scale.

• 5+ years in a global senior leadership position with multiple direct reports.

• Data science skill set, supported byproven deliverables that drive data visibility andreal timeanalytics.

• AI native— someone whotruly understandsAI and the evolving landscape of solutions that are possible.

• DeepexpertiseinSalesforce.com,data visualization,predictive modeling,advanced analyticstechniques, andAI/ML.

• Proven track record of gathering data acrossdisparatesources (SFDC, Marketo, Oracle, SAP, etc.) and harmonizing to deliverreal insights. 

• Technical proficiency in data architecture, data engineering, and cloud-basedanalyticsenvironments.

• Strong leadership with a demonstrated ability to effectively motivate teamsand drive influence across a matrixed organization.

• Understanding of Lean techniques to drive problem solving, waste elimination, and most importantly, development, rollout, and adoption of new practices.

• Proven track record of strong stakeholder and change management skills as evidenced byimplementing large-scale data andanalyticssolutions, driving global adoption, and delivering measurable business impact.

• A true talent magnet and champion — someone who can attract, retain, develop, and inspire world-class talent to enable incredible business results.

• Global experience demonstrated through leadership roles that required working outside the US on the adoption of new business practices. 

• Strong knowledge of data governance, privacy, and compliance frameworks.

• Background in commercial operations, salesanalytics, or marketinganalytics.

• Demonstrated ability to translate business needs into technical requirements and actionable insights.

• Ability to put together concise communication (PPTX, email, white papers) and present to senior leadership in a professional and direct manner.

• Proven track record of learning agility — taking on new projects and roles and demonstrating success within an accelerated time frame.

• Education:Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science); MBA or advanced degree preferred. 

Desired Skills & Experience

• Experience leading global teams and managing cross-functionalglobalprojects.

• Experience with Oracle CPQ, ServiceNow, Monday.com, or similar commercial technology stacks.

• Global experience living or working abroad. 

• Experience in Med Tech / Life Science / Diagnostic Industry.

• Knowledge of regulatory framework for medical devices, federal, state, or local mandates including, but not limited to FDA, OSHA, EPA, SFDA, etc.

Leadership Attributes

• Strategic thinker with a growth mindset and a passion for innovation.

• Entrepreneurial mindset with a proven ability to drive new programs and initiatives with limited direction.

• Be a leader who truly leans in — understanding AI and how technology can drive efficiencies and improve the customer experience, resulting in increases to funnel size, win rates, and speed to deal closure.

• Ability to inspire and motivate diverse teams across regions.

• Strong change management and organizational transformation skills.

• Clear, concise executive communicator, both verbal and written.

• High integrity, resilience, and agility in a dynamic environment.