Financial Controlling Specialist at KINTO developing innovative mobility solutions. Supports forecasting and planning processes while ensuring accurate reporting and analysis for management.
About the role
- 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
- 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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