VP of Quantitative Analytics at Radian leading sophisticated financial modeling and supporting the business requirements. Overseeing junior analysts and collaborating across departments in mortgage insurance.
About the role
- VP of Retail and Marketplace Analytics at Dentsu, leading analytics strategy and crafting solutions for client business challenges. Managing a cross-disciplinary team to drive client success.
Responsibilities
- As the VP Analytics, Retail and Marketplace, you will be the industry-leading voice of analytics for the agency, setting the vision and strategy to ensure our analytics offerings are innovative and address client business challenges.
- You will lead a cross-disciplinary team specialized in turning data into relevant insight to optimize client outcomes, holding all teams accountable for delivering and producing an integrated work product.
- You are also responsible for the evolution of the practice by developing best-in-class services and capabilities.
- Working with the SVP, the clients and the account teams on each client within the portfolio, you will craft industry-leading integrated solutions to address clients' unique business challenges, leveraging your business mindset to convert into strategic opportunities for our clients.
- You will help to identify opportunities to identify best practices and then drive the implementation of these solutions across clients within the Retail and Marketplace vertical.
- You will report to the SVP, Analytics Solutions.
Requirements
- 12+ years of relevant Analytics experience
- 5+ years in the Retail and Marketplace 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
- Familiarity with setting up and measuring a Retail Marketplace
- 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
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