Senior Manager, Analytics (Dublin, CA or USA Remote)

SavvyMoneyDublin, CA
$165,000 - $180,000Hybrid

About The Position

SavvyMoney is a leading San Francisco East Bay fintech company providing integrated credit score and personal finance solutions to over 1,600 bank and credit union partners nationally. The solutions integrate with more than 43 digital banking platforms. SavvyMoney has been recognized 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 the 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. This role will partner cross-functionally with Product, Marketing, Data Science, and Engineering to drive a deeper understanding of the 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.

Requirements

  • 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.
  • 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.

Nice To Haves

  • Experience in fintech or SaaS environments preferred.

Responsibilities

  • 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 the stakeholders.
  • 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.
  • 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 SavvyMoney’s products and business.

Benefits

  • 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
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