# Director, Product Analytics

**Company**: Fin
**Location**: Berlin, Germany; Dublin, Ireland; EMEA, Remote; London, England
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/intercom/jobs/8030046?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_937fa562-499

## Description

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.

The Director, Product Analytics role is a highly consultative, influence-heavy leadership position that sits at the intersection of product strategy, product analytics, customer outcomes, go-to-market signals, technical feasibility, and organisational design.

**Key Responsibilities:**

- Help product and company leaders make better decisions on where Fin should focus

- Bring structure and judgment to ambiguous product, customer, and performance questions

- Identify what is and is not working in the product, and where intervention is most needed

- Shape early product direction, especially in zero-to-one and fast-evolving areas

- Define where product data science should engage deeply versus where lighter support is sufficient

- Define a vision for what product data science should look like in an AI-native product organisation

- Shape how AI is used in analysis, insight generation, and decision support, while maintaining a high bar for rigor and judgment

- Improve visibility into product performance, opportunity size, and business impact

- Partner across product, engineering, design, research, sales, and leadership to connect product signals with customer and commercial outcomes

- Build trust with senior stakeholders and challenge weak logic or fuzzy thinking when needed

- Help design the operating model for product data science in Fin, including interfaces with analytics engineering, research, and go-to-market teams

- Ensure the function builds the right foundations for evaluating and improving zero-to-one AI products

- Coach and raise the bar for product data science work through prioritisation, judgment, and leadership presence

- Ensure scarce data science capacity is focused on the most important problems, not just the loudest requests

**Requirements:**

- Strong product data science leadership experience in complex product environments

- Track record of shaping strategy, not just supporting execution

- Comfort operating in ambiguity and making high-quality judgment calls with imperfect data

- Ability to influence senior stakeholders and challenge constructively when needed

- Strong analytical depth and technical skills

- A strong point of view on what product data science should look like in an AI-native company

- Experience evolving team shape and capability mix in response to changing product and organisational needs

- Ability to distinguish when the work calls for builder-type data scientists, research-oriented profiles, or deeper statistical specialisation

- Strong judgment on how AI should and should not be used in analytical and data science work

- Excellent prioritisation instincts and ability to identify high-leverage work

- Experience working across product, engineering, design, research, and commercial stakeholders

- Ability to translate across functions and connect product decisions to customer and business outcomes

- Strong leadership presence: credibility, judgment, communication, and follow-through

- Experience building or evolving operating models, team scope, or cross-functional ways of working

- Ideally, experience in AI-native, SaaS, or fast-moving B2B product contexts

**Benefits:**

- Competitive salary and equity in a fast-growing start-up

- We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

- Regular compensation reviews - we reward great work

- Pension scheme & match up to 4%

- Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

- Flexible paid time off policy

- Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

- If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too

- MacBooks are our standard, but we also offer Windows for certain roles when needed

## Skills

### Required
- product data science
- AI
- analytics
- leadership
- strategy
- technical skills
- ambiguity
- judgment
- influence
- stakeholder management
- prioritisation
- communication
- follow-through

### Nice to have
- AI-native product organisation
- SaaS
- fast-moving B2B product contexts
- data science leadership
- team evolution
- operating models

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/intercom/jobs/8030046?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)