Head of Data

Posted Yesterday
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Rīga, LVA
Hybrid
Senior level
Fintech • Financial Services
The Role
Lead and build a company-wide data function: define data strategy, governance, and unified client data model; enable analytics (segmentation, attribution, experimentation, churn); collaborate with Product, Finance, Marketing, AML, Partnerships, and Engineering; hire and develop analytics teams; define tooling, budget, and operating model to drive evidence-based decisions.
Summary Generated by Built In

Millions of people across Europe want better ways to build long-term wealth, but traditional investing often feels complex or out of reach.

Mintos is solving that. We've built a platform that makes investing in income-generating assets simple, transparent, and accessible. And we're expanding fast.

As our Head of Data, you'll build a trusted, company-wide data function as we grow to millions of investors.

If this is the kind of problem you want to solve, let's talk.

What you'll do
As our Head of Data, you'll solve Mintos’ fragmented and intuition-driven approach to decision-making by building a trusted, company-wide data function. Your focus will be defining the company’s data strategy and operating model, which means establishing data standards and governance, designing a unified client data model across behavioural and financial domains, and enabling analytical capabilities that drive business impact. You'll work with Product, Finance, Marketing, AML, Partnerships, and Engineering teams to create a shared understanding of customer behaviour and unlock evidence-based decision-making across the company.

This role reports to the Chief Technology Officer and is a key hire for Mintos’ strategic initiative to mature its data capabilities into a company-wide competitive advantage.

You will:

  • Define the long-term vision, priorities, and maturity roadmap for the Data function at Mintos

  • Audit current data maturity across major functions and establish clear standards for metrics, ownership, governance, and data quality

  • Design and drive implementation of a unified client data model connecting financial, behavioural, and interaction data

  • Build and scale the operating model for how business functions consume and collaborate with the BI team

  • Deliver advanced analytical capabilities such as predictive segmentation, attribution modelling, experimentation frameworks, and churn prediction

  • Influence executive stakeholders and cross-functional teams to adopt evidence-based decision-making practices

  • Hire, develop, and lead a high-performing team of analysts and data specialists capable of operating autonomously within business domains

  • Define the required tooling, budget, team structure, and resource plan needed to achieve Mintos’ target data maturity

Your professional skills and background

Must-haves 

  • 8+ years of experience in data, analytics, BI, or related functions, including leadership responsibility for a company-wide data or analytics function

  • Proven experience defining data strategy, governance standards, operating models, and analytical maturity roadmaps

  • Hands-on experience with advanced SQL, Python or R, experimentation frameworks, statistical modelling, segmentation, and modern BI/visualisation tools

  • Strong understanding of data modelling principles and experience designing unified customer or client data models across multiple domains

  • Ability to influence senior stakeholders across Product, Finance, Marketing, and Technology functions without relying on formal authority

  • Experience operating in regulated, compliance-heavy, or audit-sensitive environments such as fintech, banking, insurance, or financial services

  • Demonstrated ability to build, hire, and develop high-performing analytical teams

  • Strong communication skills with the ability to translate technical concepts into business impact and strategic decision-making

  • Fluent English communication skills

Nice-to-haves

  • Experience working in fintech, investment platforms, or digital financial products

  • Background in building self-service analytics or embedded analyst operating models

  • Experience partnering closely with data engineering or platform teams in modern cloud-based data environments

  • Familiarity with attribution modelling, predictive analytics, customer lifetime value modelling, or behavioural analytics

  • Experience scaling data capabilities in high-growth or transformation-stage companies

  • Relevant education in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field

What we offer

💸Competitive salary and stock options. Your experience and contribution matter, and we reflect that in fair compensation. You’ll also receive equity so you can share in the value you help create.

🤹Flexibility that fits real life. We understand how important it is to stay connected with colleagues while having the opportunities to work remotely. Come to the office to collaborate and be productive side by side, work from home when you need to, and spend up to three months each year working from another country.

🌴Generous vacation policy. Rest and recovery are essential. We don’t limit vacation to the minimum required by law. Take the time you need to recharge and come back refreshed.

🧠Learning and growth. An annual €1,200 learning budget to support your professional and personal growth. Whether you want to explore something new or deepen your expertise, we’ll support you along the way.

☕Very well equipped office. Comfortable environment matters. When in the office, enjoy the parking, showers, kitchen with snacks and drinks, massage chair, nap room and others.

Proud to be recognized for fairness
Mintos was recognized by Figure Baltic Advisory for fairness and equality in compensation and representation, achieving 3rd place in 2025.

International team of 180+ people from 17+ countries

Join a diverse team where different perspectives and experiences are valued. We work across Europe, share ideas openly, and collaborate to solve meaningful challenges together.

Mintos is an equal opportunity employer. We're committed to building a diverse team and creating an inclusive workplace for everyone. If you need accommodations during the interview process, contact us at [email protected].

Skills Required

  • 8+ years of experience in data, analytics, BI, or related functions with leadership responsibility for a company-wide data or analytics function
  • Proven experience defining data strategy, governance standards, operating models, and analytical maturity roadmaps
  • Hands-on experience with advanced SQL, Python or R, experimentation frameworks, and statistical modelling
  • Experience with modern BI/visualisation tools
  • Strong understanding of data modelling principles and experience designing unified customer/client data models across domains
  • Ability to influence senior stakeholders across Product, Finance, Marketing, and Technology without formal authority
  • Experience operating in regulated, compliance-heavy, or audit-sensitive environments (fintech, banking, insurance, or financial services)
  • Demonstrated ability to build, hire, and develop high-performing analytical teams
  • Strong communication skills; translate technical concepts into business impact and strategic decision-making
  • Fluent English communication skills
  • Experience in attribution modelling, predictive analytics, customer lifetime value modelling, or behavioural analytics
  • Experience working in fintech, investment platforms, or digital financial products
  • Background in building self-service analytics or embedded analyst operating models
  • Experience partnering closely with data engineering or platform teams in modern cloud-based data environments
  • Relevant education in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field
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The Company
180 Employees
Year Founded: 2014

What We Do

Mintos is a leading European investment platform that enables individuals to build diversified portfolios of income-generating assets, such as loans, fractional bonds, and exchange-traded funds (ETFs). Operating as a marketplace, it connects retail investors with a wide range of investment opportunities from various loan originators and financial institutions, allowing users to earn regular passive income through both automated and manual investment strategies.

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