Head of Data

9fin

About 9fin 9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption. We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide. About the role We're building the data platform that powers both our internal analytics and, increasingly, our customer-facing data products — screeners, embedded analytics, and data feeds/sharing. This role owns the movement, storage, and productisation of data end to end: from ingesting high-volume operational data out of our Product Engineering services into the lake, to serving it back to customers under a production SLA. This is a platform and product leadership role, not an analytics or BI modelling role. Our Analytics team already owns dbt, the semantic layer, and internal BI — you partner with them and consume their definitions; you don't rebuild what they own. What you'll own * Ingestion — event-driven and CDC streams, stream processing (e.g. Flink), batch, and file-based vendor feeds (SFTP / managed file transfer), landing data from Product Engineering services into the lake * The lake / lakehouse — Parquet, Trino, table formats, partitioning, and the physical and analytical modelling underneath * The serving / cache tier — powering customer-facing screeners and analytics at production latency and concurrency * Data sharing and feeds — governed external delivery via Snowflake / Databricks (Delta Sharing), APIs, and file feeds * The reverse-ETL platform — pushing derived data back to operational systems and downstream tools * Data contracts and governance — schema governance, entitlements, and the classification controls that keep sensitive data (e.g. people data) off the customer edge What we're looking for * Has built and operated a customer-facing data product under an SLA — embedded analytics, a data-feed/API business, or a data-sharing product — not only an internal warehouse * Deep experience moving high-volume data in production: event-driven and CDC ingestion, stream processing (Flink), batch, file-based feeds, schema evolution, backfills * Strong on schema registries and contracts (Avro/Protobuf, evolution, breaking-change handling across producers and consumers) — not just dimensional modelling * Fluent in Parquet, Trino, streaming (Kafka/Flink), and lakehouse platforms (Snowflake/Databricks), and the throughput and cost engineering that comes with scale * Product and governance instincts: multi-tenancy, row-level entitlements, usage metering, and data classification * Bonus: experience in financial data, capital markets, or market-intelligence products (Bloomberg / S&P / 9fin-style). How you'll work Peer to the Head of Analytics — you own platform and external data products; they own meaning and internal BI. You consume their semantic layer as a contract, and neither team duplicates the other. Partner with Product Engineering (our Core and Market Vertical domain teams) as your data producers — defining versioned data contracts and a paved-road ingestion path rather than tapping their raw tables. Our benefits We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.   Financial & Insurance * Competitive Salary (our salary bands are benchmarked at the top end of the market) * Equity options * Pension (your minimum contributions are 4% with 9fin matching up to 7%) * Private Medical Insurance * Paid sick leave with Income Protection for long periods of illness * Group Life Assurance * Season Ticket Loan & Cycle to Work schemes Time off * 25 holiday days per year * Local public holidays (with the ability to exchange them for alternative days) * Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work * Work abroad for up to 3 months a year * 1 month paid sabbatical after 5 years of service * Enhanced parental leave & flexible working arrangements available Training & Culture * Professional learning and development budget * Quarterly team socials * Summer and Winter company social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.

Fresha

The AI-powered OS for beauty, wellness and self-care About Fresha Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices. Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date. The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC. Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions.   Fresha’s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.   The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google. We process millions of transactions and generate rich behavioural data across consumers and partners. Despite this, data science is still early at Fresha. That's the opportunity.   About the Role We're hiring a Head of Data Science to build DS into a core function at Fresha, not manage what already exists. Today the team is small but technically strong. We have production ML models in fraud detection, text moderation, and taxonomy classification, running on SageMaker with a dbt/Snowflake data stack. But we're operating reactively, and we know there's significantly more value DS can unlock across the marketplace. You'll have a clear mandate, leadership buy-in, and a technically strong team already in place. Your job is to set the direction, grow the team, and make data science visible and indispensable to how Fresha makes decisions and builds products. This role is right for you if you've done this before - taken a small DS team at a scaling company and turned it into something the business can't operate without. To foster a collaborative environment that thrives on face-to-face interactions and teamwork, this role will be based in our dog-friendly office 5 days per week in London: The Bower, 207-122, Old Street, London EC1V 9NR.

Multiverse

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. Summary As Head of Data Operations, you will be the operational backbone of Multiverse's D&I team. You will ensure that our work is well planned, properly resourced and consistently delivered — while also coordinating the processes that keep the D&I team running smoothly, and directly managing and developing our Analytics Engineers and Analytics Developers. This role sits within the D&I team, reporting to the VP of Data & Insight. You will collaborate closely with our Director of Data Engineering and Domain D&I Leads, as well as engaging with company-wide processes and cross-functional teams. Success requires a highly organised, people-focused operator who thrives on bringing structure, clarity and momentum to a fast-moving technical team. What you'll focus on Deliverable Planning, Resourcing & Monitoring * Owning D&I's operational planning process — ensuring that projects and deliverables are properly scoped, clearly defined and appropriately resourced * Working with the Director of Data Engineering and Domain D&I Leads to translate roadmap priorities into well-structured plans with clear owners, timelines and dependencies * Monitoring progress against project milestones — proactively identifying risks, flagging blockers and coordinating solutions to keep work on track * Managing team capacity across Analytics Engineers and Analytics Developers — driving optimal allocation and dynamic reallocation of resource as priorities evolve Team Process Coordination * Driving D&I's team ceremonies — including sprint planning, standups, retrospectives and quarterly planning sessions — ensuring they are well run and action-oriented * Owning the triage and coordination of inbound support requests from across the business — ensuring they are prioritised fairly, assigned appropriately and resolved in a timely manner * Representing D&I within Multiverse-wide planning and coordination processes — including contributing to the company roadmap process and engaging with Tech and Ops support functions on behalf of the team * Maintaining D&I's team tooling (e.g. Asana, Claude) to ensure work is well tracked, visible and up to date * Acting as a key point of coordination across the D&I team — keeping communication flowing, reducing friction and helping the team focus on high-impact work Process Improvement & Standardisation * Identifying and implementing improvements to D&I's ways of working — making our delivery processes more consistent, efficient and scalable * Developing and embedding operational standards and best practices across the team — including how we scope work, manage handoffs and document outputs * Building and maintaining playbooks and templates that help the team deliver consistently high-quality work with less overhead * Tracking D&I's own operational metrics (e.g. project velocity / support throughput) to drive ongoing improvement Team Coaching & Development * Directly managing approx Analytics Engineers and Analytics Developers — providing day-to-day guidance, support and oversight * Conducting weekly 1:1s and periodic development conversations, helping team members set meaningful goals and grow within their roles * Identifying skill gaps and coordinating appropriate learning opportunities — whether through formal training, peer learning or on-the-job stretch * Fostering a high-performance team culture built on accountability, collaboration and continuous improvement * Supporting the recruitment and onboarding of new Analytics Engineers & Analytics Developers as needed Collaboration & Stakeholder Support * Acting as a reliable operational point of contact for internal stakeholders — managing expectations, communicating progress and helping to navigate competing priorities * Working closely with the Director of Data Engineering and Domain D&I Leads on cross-team prioritisation, resourcing and dependency management * Engaging with Multiverse's Tech and Ops teams to ensure D&I's ways of working are well integrated with broader organisational processes and standards * Supporting the VP of D&I on team-wide communications, planning and operational initiatives What we're looking for Required Experience & Skills 6+ years of experience in data, analytics or technical operations — ideally within a fast-growing tech scale-up or similarly fast-moving environment * 2+ years of experience directly managing and developing technical teams (e.g. Analytics Engineers, BI Developers or similar) * Proven track record of owning delivery planning and operational coordination within a data or engineering function * Strong experience running team ceremonies and agile-style processes effectively * Experience triaging and managing inbound support requests across a multi-stakeholder environment * Experience engaging with company-wide planning processes (e.g. roadmap contribution, cross-functional coordination with Tech or Ops teams) * Hands-on experience with project management tooling such as Asana, Jira or similar * A genuine passion for people development — with the ability to coach, challenge and support individuals at different stages of their careers * Highly organised with exceptional attention to detail and strong prioritisation skills * Clear, confident communicator — able to translate complex plans and issues for both technical and non-technical audiences * Pragmatic problem-solver who brings calm and clarity in fast-moving, ambiguous situations * Familiarity with modern data tooling and analytics workflows (specific technical depth not required, but confidence navigating a data-heavy environment is essential) * Right to work in the UK * Ability to work from the Multiverse London office 3+ days per week * Commitment to Multiverse's mission and values Benefits * Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year * Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support * Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month * Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year * Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked! Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.