Senior Manager, Analytics; Dublin, CA

Sales Executive (Dublin, CA or USA Remote) About Savvy Money:

Savvy Money is a leading San Francisco East Bay fintech company. We provide integrated credit score and personal finance solutions to over 1,600+ bank and credit union partners nationally. The Savvy Money solutions integrate with more than 40 digital banking platforms.

Savvy Money was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area", and is an Inc. 5000 Fastest Growing Company.

Our corporate offices are in Dublin, CA and we offer a hybrid work environment with some days at the corporate office and some days working from home.

The Senior Manager, Analytics is responsible for leading and scaling Savvy Money’s analytics function. This role reports to VP of Data and Analytics, and will oversee a high-performing team of data analysts, fostering their professional growth while remaining hands‑on in analytics, data storytelling, and insights delivery.

In this role, you will partner cross‑functionally with Product, Marketing, Data Science and Engineering to drive a deeper understanding of our business, optimize performance, and accelerate the company’s use of advanced analytics and AI.

This is both a strategic and executional role, ideal for a leader who thrives at the intersection of data, business impact, and team development.

• Lead, coach, and develop a high-performing team of data analysts.
• Build clear career paths and growth opportunities for team members.
• Foster a culture of collaboration, curiosity, and analytical excellence.
• Define and execute the analytics roadmap to align with business and product goals.
• Oversee delivery of key analytics initiatives across customer insights, performance tracking, and product optimization.
• Drive quarterly and annual planning for the analytics function, aligning with company priorities.
• Ensure analytics projects are scoped, prioritized, and executed effectively across stakeholders.
• Define and track success metrics/KPIs for analytics initiatives and report impact regularly to stakeholders.

• Drive event instrumentation, data pipelines, and KPI definitions for new product launches to ensure measurement is in place before release.
• Conduct deep‑diving analysis to uncover insights into user behavior, FI performance, and product usage.
• Design and maintain dashboards, reports, and self‑service tools to empower business stakeholders.
• Communicate insights effectively to both technical and non‑technical audiences.

• Partner with Product, Marketing, GTM, Product Management and Engineering to deliver actionable insights that shape business and product strategies.
• Collaborate with Data Engineering teams to enhance data accessibility, automation, and infrastructure scalability.
• Serve as a key analytics representative in cross‑functional planning and leadership discussions.
• Own data quality and metric integrity across analytics systems by partnering with the Data Architect to define data standards, monitoring, and issue resolution processes.
• Partner with Data Scientists to support exploratory data analysis (EDA) and feature selection.
• Collaborate with the AI Analytics Lead to adopt AI‑powered solutions and develop scalable self‑service analytics capabilities for business stakeholders.
• Stay current on emerging AI and analytics trends and evaluate their applicability to Savvy Money’s products and business.

• Bachelor’s or Master’s degree in a quantitative field including Analytics, Software Engineering, or related discipline.
• 8+ years of experience in data analytics, business intelligence, or related roles.
• 3+ years of experience managing data analytics professionals.
• Proven ability to lead both strategically and tactically—from roadmap development to hands‑on execution.
• Strong SQL, Python skills and experience with BI/visualization tools (e.g. Tableau, Power BI, or Looker).
• Hands‑on experience leveraging modern AI platforms like Claude, OpenAI, and Gemini to build analytics, automation, and decision‑support solutions.
• Solid understanding of…