VP Analytics driving innovative Financial Services solutions and analytics capabilities. Leading a cross-disciplinary team to optimize client outcomes and deliver integrated work product.
Responsibilities
Set vision for Financial Services Analytics team, ensure offerings are innovative and address challenges impacting Financial Services industry and maximize 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 Financial Services 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.
Requirements
12+ years of relevant Analytics experience
5+ years in the Financial Services 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, 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 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
Extensive experience in Financial Services analytics
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