Lead Analyst, Commercial Data & AI

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Lead Analyst, Commercial Data & AI based in the United States.

The Lead Analyst, Commercial Data & AI will drive commercial analytics, data governance, and AI-enabled innovation within a global orthopaedics business. This role combines advanced data analysis, workflow automation, and emerging AI technologies to strengthen commercial performance and customer engagement. You will build reliable datasets, establish standardized KPIs, and develop actionable insights that support lead generation, opportunity management, and sales effectiveness. Working closely with Marketing, Sales, Product, and Data Strategy teams, you will translate complex business challenges into scalable analytical solutions. You will also explore generative AI applications that improve commercial productivity while ensuring responsible, secure, and measurable implementation. As a senior analytical partner, you will influence strategic decisions, promote data quality, and mentor colleagues in a collaborative, innovation-driven environment.

Accountabilities:

• Data strategy and governance: Build and maintain trusted customer data assets in collaboration with Data Strategy teams, establish source-of-truth datasets and standardized definitions, document analytical logic, and ensure reproducibility.
• Data quality and integrity: Monitor, assess, and improve data accuracy, completeness, and consistency across commercial systems and multiple data sources.
• Commercial analytics and measurement: Develop standardized KPI frameworks, create reliable data models, and deliver actionable insights that support lead generation, opportunity management, customer engagement, and commercial execution.
• Generative AI enablement: Prototype, test, and evaluate generative AI applications, including personalized message generation, subject-line testing, content summarization, and agent-assistance solutions, with appropriate safeguards, human validation, and performance measurement.
• Stakeholder collaboration: Partner with Marketing, Sales, Product, and Data Strategy teams to prioritize analytical requests, translate ambiguous business questions into structured hypotheses, and deliver clear recommendations and practical solutions.
• Responsible data and AI practices: Ensure adherence to data privacy, consent management, security, and AI governance requirements while identifying potential bias and fairness risks and implementing appropriate mitigation measures.
• Technical leadership and mentorship: Guide and coach analysts on analytical rigor, advanced SQL practices, experimentation, data quality, governance, and reproducible workflows.

Requirements:

• At least 5 years of experience in analytics, data science, marketing analytics, or customer analytics, including hands-on experience with CRM and lifecycle measurement.
• Advanced SQL proficiency, including complex joins, common table expressions (CTEs), window functions, and the ability to work with large, complex datasets.
• Proven hands-on experience with Alteryx Designer to develop, automate, and optimize end-to-end data workflows.
• Strong capabilities in data cleaning, blending, transformation, and integration across multiple sources.
• Solid knowledge of orthopaedics products, clinical procedures, and relevant customer profiles.
• Demonstrated ability to translate business needs into analytical hypotheses, appropriate methodologies, clear recommendations, and effective data structures.
• Strong stakeholder management and collaboration skills, with the ability to influence decisions without direct authority and communicate effectively across functions.
• Knowledge of CRM-related data privacy principles, including consent management, suppression rules, personally identifiable information (PII), and data governance controls.
• Excellent written and verbal communication skills, including the ability to present complex findings through clear, executive-ready materials.
• Strong analytical problem-solving abilities, commercial awareness, systems thinking, and a commitment to responsible AI and data-driven decision-making.

Preferred qualifications:

• Experience with CRM and commercial platforms such as Salesforce Life Sciences Cloud, Marketing Cloud, Movemedical, or Tableau Server.
• Familiarity with cloud data platforms and data ware…