Associate Director, Advanced Analytics

Key Responsibilities: Account Management & Client Engagement: Build and maintain strong, long-term relationships with clients’ senior stakeholders. Act as the primary point of contact for commercial analytics needs, managing expectations, conducting regular business reviews, and identifying opportunities for expansion. Translate client business challenges into actionable analytics projects. Commercial Analytics Delivery: Lead the design, execution, and interpretation of analytics projects, with a focus on patient claims analytics, brand analytics, marketing analytics, and predictive analytics. Serve as a subject matter expert, guiding internal teams to ensure all deliverables are high-quality, timely, and exceed expectations. Project Leadership & Team Management: Oversee end-to-end project delivery, including scoping proposals, resource allocation, timeline management, and budget oversight. Mentor and develop a team of analysts and managers, fostering skill growth. Business Development & Innovation: Contribute to proposal development, ensuring methodological rigor and alignment with client needs. Identify growth opportunities for the firm, including new service offerings and improvements of existing processes. Stay abreast of industry trends in healthcare data, service offerings and AI/ML applications to innovate offerings and enhance KMK's competitive edge. Stakeholder Communication & Impact: Present analytical findings through compelling visualizations, reports, and executive summaries. Influence cross-functional teams and clients to drive data-informed decisions that elevate commercial performance and patient care outcomes.

Education: Bachelor's degree in Business, Analytics, Statistics, Life Sciences, or a related field; Master's or MBA preferred.

Experience: 7-10+ years in commercial analytics, consulting, or pharma/biotech, with at least 4 years in a client-facing leadership role (e.g., Manager, Senior Manager, or Associate Director). Proven track record in patient claims, brand, marketing, and/or predictive analytics required. Experience with life sciences datasets (e.g., claims, EMR, payer data), Speciality Pharmacy, Hub Data, 852 & 867, and coding skills (SAS, Python, SQL, etc.,) and knowledge of data visualization software such as Tableau or Power BI.

Technical Skills: Strong proficiency in data analysis, statistical modeling, and coding (SQL, Python/R preferred). Familiarity with commercial operations tools (e.g., CRM, incentive compensation platforms) and advanced analytics methodologies (e.g., marketing mix modeling, segmentation).

Soft Skills: Exceptional communication and presentation abilities, with experience influencing senior executives. Strategic thinker with a client-centric mindset, strong problem-solving skills, and a passion for mentoring. Ability to thrive in a fast-paced, collaborative environment while managing multiple priorities.