Description:
Vision and Strategy – Set vision for Health/Non-Profit Analytics team, ensure offerings are innovative and address challenges impacting Health/Non-Profit industry as well as exploit emerging technology trends and partnership opportunities.
Growth – Partner with Client Success, Growth teams and Capability Leaders to craft integrated solutions in support of client's business objectives.
Delivery – Ensure delivery excellence for Health/Non-Profit 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.
Staff Development – Lead recruiting, staffing, training and career development planning. Cultivate learning mindset to ensure team stay up to date with industry trends and future-proof.
Qualifications:
- 12+ years of relevant Analytics experience
- 3+ years in the Health and Non-Profit space
- 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
- Experience mentoring a staff from entry-level to senior roles
- Experience in 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 of the following 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