Set vision for Health Analytics team, ensure offerings are innovative and address challenges impacting Health industry and exploit emerging technology trends and partnership opportunities.
Partner with Client Success, Growth teams and Capability Leaders to craft integrated solutions in support of client's business objectives.
Ensure delivery excellence for Health client portfolio.
Lead teams in defining and delivering measurement roadmaps, data visualizations media mix optimization, multi-touch attribution, digital/TV attribution, customer segmentation/modeling and AI/genAI applications.
Lead recruiting, staffing, training and career development planning. Cultivate learning mindset to ensure team stay up to date with industry trends and future-proof.
Requirements
12+ years of relevant Analytics experience
5+ years in the Health space (Pharma, HCP, Patient, Payor, Provider, Life Sciences, Retail Health, Medical Device)
Bachelor's degree in data analytics, data science, statistics or other quantitative disciplines
Master's degree in data analytics, data science, statistics or other quantitative disciplines (preferred)
Senior-most contact for analytics at client-side or marketing/advertising agencies; experience managing analytics teams and delivering for a portfolio of clients, expertise in presenting to clients
Experience mentoring a staff from entry-level to senior roles
Experience delivering clear, strategic presentations to C-level clients and agency executives
Experience guiding strategic thinking and leadership for data analytics, insights and innovation and evolving clients' measurement capabilities across various stages of data and business maturity
Familiarity with statistical concepts, machine learning and AI / Gen AI, with hands-on expertise in two or more areas: Customer Analytics, Advanced Measurement and Attribution, ML Driven Personalization, Market Research, Media Analytics, Reporting & BI
Working knowledge of relational databases, machine learning/AI techniques and programming languages (e.g., SQL, R, and Python) and clean room solutions and technologies
Experience with data sourcing, evaluation, onboarding and integration
Awareness of privacy and security considerations, specifically HIPPA compliance requirements - ensuring that data handling meets legal and ethical standards to protect the agency and customers and their data
Understanding of Ad/MarTech landscape across all digital and non-digital channels and their advantages/limitations.
Benefits
Medical, vision, and dental insurance
Life insurance
Short-term and long-term disability insurance
401k
Flexible paid time off
At least 15 paid holidays per year
Paid sick and safe leave
Paid parental leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticsdata sciencestatisticscustomer analyticsadvanced measurementattributionmachine learningAISQLPython