Senior Manager, Analytics (Dublin, CA)

Posted 6 Days Ago
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Dublin, CA, USA
Hybrid
165K-180K Annually
Senior level
Fintech • Software • Analytics • Financial Services
The Role
Lead and scale the analytics function, managing data analysts and partnering with Product, Marketing, Data Science, and Engineering. Define analytics strategy and roadmap, deliver KPIs, ensure data quality, build dashboards and self-service tools, drive event instrumentation and deep-dive analyses, and support AI adoption for business impact.
Summary Generated by Built In

**To be considered for this position, candidates must be legally authorized to work in the United States on a full-time basis without the need for employer sponsorship now or in the future.


SavvyMoney is a leading San Francisco East Bay fintech company. We provide integrated credit score and personal finance solutions to 1,600 + bank and credit union partners nationally. The SavvyMoney solutions integrate with more than 43 digital banking platforms.

SavvyMoney 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.

The Senior Manager, Analytics is responsible for leading and scaling SavvyMoney’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.

Key Responsibilities

Team Leadership & 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.

Analytics Strategy & Execution

  • 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 the stakeholders.

Hands-On Analytics

  • Drive event instrumentation, data pipelines, and KPI definitions for new product launches to ensure measurement is in place before release.

  • Conduct deep-dive 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.

Cross-Functional Partnership

  • 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.

AI adoption

  • Stay current on emerging AI and analytics trends and evaluate their applicability to SavvyMoney’s products and business.

Qualifications

  • 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 data pipelines, data modeling, and cloud-based data platforms (e.g. AWS Glue, Snowflake, and Redshift).

  • Excellent communication, stakeholder management, and storytelling skills.

  • Experience in fintech or SaaS environments preferred.

Base Salary

The Annual Base salary for this position will be between $165,000.00 and $180,000.00 based upon experience/geography + Annual Bonus Potential

Additionally we provide

  • Equity Compensation Package

  • Flexible Time Off (FTO) - take time off as needed to rest and recharge.

  • Medical, Dental, Vision – 100% premium paid for employee

  • Disability/Life Insurance

  • Opportunity for learning and career growth with a top Bay Area technology company

  • Reimbursement for remote work setup

  • Monthly stipend for phone and internet

  • Team building events, culture activities, all hands events

  • Paid time off to volunteer and serve the community

  • Half day Fridays

  • 401k matching contribution

  • Beautiful California East Bay offices in Dublin, CA

SavvyMoney’s EEO Statement

SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer.

We are committed to protecting your data. To learn more, please review the
SavvyMoney Employee Privacy Policy Notice here

Skills Required

  • Bachelor's or Master's degree in a quantitative field (Analytics, Software Engineering, or related)
  • 8+ years experience in data analytics, business intelligence, or related roles
  • 3+ years managing data analytics professionals
  • Strong SQL and Python skills
  • Experience with BI/visualization tools (Tableau, Power BI, Looker)
  • Hands-on experience leveraging modern AI platforms (Claude, OpenAI, Gemini)
  • Solid understanding of data pipelines, data modeling, and cloud-based data platforms (AWS Glue, Snowflake, Redshift)
  • Excellent communication, stakeholder management, and data storytelling skills
  • Experience in fintech or SaaS environments
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The Company
HQ: Dublin, CA
146 Employees
Year Founded: 2009

What We Do

SavvyMoney is a leading fintech company that provides integrated credit score, financial wellness, and lending solutions to over 1,600 financial institutions. By combining real-time data, personalized marketing, and advanced analytics, the company helps banks and credit unions drive member engagement, grow loans and deposits, and deliver actionable financial insights within digital banking environments, ultimately empowering consumers to take control of their financial health.

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