Manager of Software Engineering and Analytics
Role Overview
We are looking for a Manager, Software Engineering & Analytics to lead the development of our fintech website while owning the analytics and data insights that guide its evolution.
Our website delivers data, research, and tools that help individual investors achieve their investing goals. In this role, you will lead a team of six full‐stack developers responsible for building and maintaining the website, while you personally act as the data and analytics expert, responsible for measurement, insight, and decision support.
This is a senior, hybrid role requiring strong full‐stack engineering capability to lead effectively, combined with deep analytics expertise to remain hands‐on with data, queries, and dashboards.
What You’ll Be Doing
Engineering Leadership (Website Development)
Lead and manage a team of six full‐stack developers responsible for the website
Set technical direction and standards across frontend and backend development
Own the architecture, performance, reliability, and security of the website platform
Review code, guide design decisions, and ensure engineering best practices are followed
Partner with Product and UX to translate roadmap requirements into high‐quality delivery
Hands‐On Analytics & Data Ownership (Individual Contributor)
Act as the primary analytics and data expert for the website
Own and maintain Google Analytics (GA4) configuration, tracking strategy, and core reporting
Write complex SQL queries (e.g. in Athena) against clickstream and event‐level data
Design, build, and maintain ETL processes and data pipelines to ingest, transform, and model analytics data from multiple sources into reliable, analysis‐ready datasets
Design, build, and maintain dashboards used by Marketing, Product, and Leadership
Analyse user behaviour, funnels, and campaign performance to generate actionable insights
Strategy, Roadmap & Decision Support
Own the website and analytics roadmap, balancing new features, technical health, and insight needs
Ensure analytics is built into features by design, not added retroactively
Partner closely with Marketing to measure campaign effectiveness and customer journeys
Use data to inform prioritisation, product decisions, and investment trade‐offs
Quality, Governance & Reliability
Ensure high standards of data quality, tracking accuracy, and reporting consistency
Establish guardrails around metrics definitions and dashboards
Champion performance, observability, and operational excellence across the website
People Leadership & Culture
Coach, mentor, and develop engineers with varying experience levels
Create clarity on goals, expectations, and career growth
Foster a culture of ownership, collaboration, and continuous improvement
Support hiring, onboarding, and performance management
What We’re Looking For
Key Skills for This Role
Full Job Posting
About the Role
We are looking for a Manager, Software Engineering & Analytics to lead the development of our fintech website while owning the analytics and data insights that guide its evolution.
Our website delivers data, research, and tools that help individual investors achieve their investing goals. In this role, you will lead a team of six full‐stack developers responsible for building and maintaining the website, while you personally act as the data and analytics expert, responsible for measurement, insight, and decision support.
This is a senior, hybrid role requiring strong full‐stack engineering capability to lead effectively, combined with deep analytics expertise to remain hands‐on with data, queries, and dashboards.
What You’ll Be Doing
Engineering Leadership (Website Development)
Lead and manage a team of six full‐stack developers responsible for the website
Set technical direction and standards across frontend and backend development
Own the architecture, performance, reliability, and security of the website platform
Review code, guide design decisions, and ensure engineering best practices are followed
Partner with Product and UX to translate roadmap requirements into high‐quality delivery
Hands‐On Analytics & Data Ownership (Individual Contributor)
Act as the primary analytics and data expert for the website
Own and maintain Google Analytics (GA4) configuration, tracking strategy, and core reporting
Write complex SQL queries (e.g. in Athena) against clickstream and event‐level data
Design, build, and maintain ETL processes and data pipelines to ingest, transform, and model analytics data from multiple sources into reliable, analysis‐ready datasets
Design, build, and maintain dashboards used by Marketing, Product, and Leadership
Analyse user behaviour, funnels, and campaign performance to generate actionable insights
Strategy, Roadmap & Decision Support
Own the website and analytics roadmap, balancing new features, technical health, and insight needs
Ensure analytics is built into features by design, not added retroactively
Partner closely with Marketing to measure campaign effectiveness and customer journeys
Use data to inform prioritisation, product decisions, and investment trade‐offs
Quality, Governance & Reliability
Ensure high standards of data quality, tracking accuracy, and reporting consistency
Establish guardrails around metrics definitions and dashboards
Champion performance, observability, and operational excellence across the website
People Leadership & Culture
Coach, mentor, and develop engineers with varying experience levels
Create clarity on goals, expectations, and career growth
Foster a culture of ownership, collaboration, and continuous improvement
Support hiring, onboarding, and performance management
What We’re Looking For
Experience
- 8–12+ years experience across software engineering and analytics roles
- 3+ years experience leading software engineering teams
- Demonstrated ownership of customer‐facing websites or digital platforms
- Experience in fintech, data‐heavy platforms, or SaaS environments preferred
- Engineering Skills
- Strong full‐stack development background, with the ability to:
- Review and guide frontend and backend code
- Make sound architectural decisions
- Mentor engineers across the stack
- Experience with modern web architectures and cloud‐based platforms (AWS preferred)
- Analytics & Data Expertise
- Deep, hands‐on experience with Google Analytics (GA4)
- Strong SQL skills, particularly with large clickstream or event datasets (Athena or similar)
- Ability to connect analytics outputs directly to business and product decisions
- Leadership & Communication
- Credible with senior engineers and business stakeholders
- Comfortable switching between strategic thinking and hands‐on execution
- Clear communicator who can explain both technical and data concepts simply
- Strong judgment and ability to balance competing priorities
Nice to Have
- Experience designing analytics‐friendly event schemas
- Familiarity with experimentation, attribution, or customer funnel analysis
- Understanding of privacy, consent, and analytics governance
- Why This Role Is Unique
- Lead a full‐stack engineering team while remaining a hands‐on data leader
- Shape how a fintech platform serves and informs individual investors
- Influence product, marketing, and technology strategy through insight
- Work at the intersection of engineering execution and data‐driven decision‐making
- Morningstar is an equal opportunity employer.
- Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
- I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity
- Experience in fintech, data‐heavy platforms, or SaaS environments preferred
- Experience with modern web architectures and cloud‐based platforms (AWS preferred)
About Morningstar
Provider of independent investment research and financial data.
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