Lead Analyst, Commercial Data & AI

<h3>Accountabilities:</h3><li>
<strong>Data strategy and governance:</strong>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.</li><li>
<strong>Data quality and integrity:</strong>Monitor, assess, and improve data accuracy, completeness, and consistency across commercial systems and multiple data sources.</li><li>
<strong>Commercial analytics and measurement:</strong>Develop standardized KPI frameworks, create reliable data models, and deliver actionable insights that support lead generation, opportunity management, customer engagement, and commercial execution.</li><li>
<strong>Generative AI enablement:</strong>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.</li><li>
<strong>Stakeholder collaboration:</strong>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.</li><li>
<strong>Responsible data and AI practices:</strong>Ensure adherence to data privacy, consent management, security, and AI governance requirements while identifying potential bias and fairness risks and implementing appropriate mitigation measures.</li><li>
<strong>Technical leadership and mentorship:</strong>Guide and coach analysts on analytical rigor, advanced SQL practices, experimentation, data quality, governance, and reproducible workflows.</li><h2>Requirements:</h2><li>At least<strong>5 years of experience</strong>in analytics, data science, marketing analytics, or customer analytics, including hands-on experience with CRM and lifecycle measurement.</li><li>Advanced SQL proficiency, including complex joins, common table expressions (CTEs), window functions, and the ability to work with large, complex datasets.</li><li>Proven hands-on experience with<strong>Alteryx Designer</strong>to develop, automate, and optimize end-to-end data workflows.</li><li>Strong capabilities in data cleaning, blending, transformation, and integration across multiple sources.</li><li>Solid knowledge of orthopaedics products, clinical procedures, and relevant customer profiles.</li><li>Demonstrated ability to translate business needs into analytical hypotheses, appropriate methodologies, clear recommendations, and effective data structures.</li><li>Strong stakeholder management and collaboration skills, with the ability to influence decisions without direct authority and communicate effectively across functions.</li><li>Knowledge of CRM-related data privacy principles, including consent management, suppression rules, personally identifiable information (PII), and data governance controls.</li><li>Excellent written and verbal communication skills, including the ability to present complex findings through clear, executive-ready materials.</li><li>Strong analytical problem-solving abilities, commercial awareness, systems thinking, and a commitment to responsible AI and data-driven decision-making.</li><h2>Preferred qualifications:</h2><li>Experience with CRM and commercial platforms such as Salesforce Life Sciences Cloud, Marketing Cloud, Movemedical, or Tableau Server.</li><li>Familiarity with cloud data platforms and data warehouses, including Reltio, AWS, Snowflake, SAP, Amazon Redshift, or Databricks.</li><li>Experience with customer identity resolution, attribution methodologies, and commercial performance measurement.</li><li>Practical experience evaluating or implementing generative AI solutions, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and AI safeguards.</li><li>Knowledge of business intelligence tools such as Power BI or Tableau, along with semantic data modeling.</li><li>Experience mentoring analysts, improving analytical workflows, and promoting data governance and operational excellence.</li><h2>Benefits:</h2><li>
<strong>Competitive compensation:</strong>Anticipated annual base salary ranging from<strong>$94,000 to $151,800</strong>, depending on applicable factors and the terms of the compensation program.</li><li>
<strong>Remote work flexibility:</strong>Fully remote position within the United States, with the opportunity to work from an eligible U.S. location.</li><li>
<strong>Retirement benefits:</strong>Eligibility to participate in a retirement pension plan and a 401(k) savings plan, subject to the applicable plan terms.</li><li>
<strong>Long-term incentives:</strong>Eligibility to participate in a long-term incentive program.</li><li>
<strong>Paid vacation:</strong>120 hours per calendar year, subject to applicable policies and eligibility requirements.</li><li>
<strong>Paid sick leave:</strong>40 hours per calendar year, with higher allowances for eligible employees in certain states, including Colorado and Washington.</li><li>
<strong>Paid holidays:</strong>13 days per calendar year, including floating holidays.</li><li>
<strong>Work, personal, and family time:</strong>Up to 40 hours per calendar year.</li><li>
<strong>Parental leave:</strong>480 hours within one year of the birth, adoption, or foster placement of a child.</li><li>
<strong>Bereavement leave:</strong>Up to 240 hours for an immediate family member and 40 hours for an extended family member per calendar year, subject to applicable policies.</li><li>
<strong>Caregiver leave:</strong>Up to 80 hours within a rolling 52-week period.</li><li>
<strong>Volunteer leave:</strong>32 hours per calendar year.</li><li>
<strong>Military spouse time off:</strong>80 hours per calendar year.</li><li>
<strong>Inclusive workplace:</strong>An equal-opportunity employment environment committed to diversity, accessibility, and reasonable accommodations throughout the recruitment process.</li>