Lead Business Analyst

Soho, London Hybrid working: 3 days in the office Tues - Thurs The Role We are seeking a Senior Data Engineer to join our Data Team, taking a leading role in building the complex, scalable systems that power our data strategy. You will lead architectural discussions, own the design of business-critical data solutions and deliver high-quality systems that bring millions of fans closer to the sports they love. This is a fantastic opportunity to lead the optimisation of our data platforms for real-time AI/ML workloads, mentor engineers and make a significant impact on our business. The Senior Data Engineer leads technical initiatives, maintains data integrity and performance, and works across teams to translate complex business requirements into effective data solutions. The role also uses automation and artificial intelligence to improve efficiency, decision-making and productivity across the organisation. At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top. We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users. We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you!  Key Responsibilities  * Lead the design and delivery of robust data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub and Cloud Storage. This includes integrating data from various sources, ensuring data quality and enabling real-time processing capabilities. * Own the design of data models and databases that support business analytics and intelligence, using dimensional data-modelling principles. Select and use GCP database technologies such as Bigtable, Spanner or Firestore to optimise performance and scalability. * Lead the automation of data workflows and optimisation of data storage and processing costs within GCP. Use tools such as Cloud Composer for orchestration and establish best practices in performance tuning. * Ensure data security by implementing GCP security practices. Manage access controls, comply with data-governance policies and safeguard sensitive information. * Work closely with data engineers, business analysts and IT teams to define data requirements and deliver comprehensive data solutions. Provide technical leadership and guidance to team members. * Evaluate new GCP features and data-engineering technologies, setting technical direction where they can enhance data infrastructure or enable new data products. * Lead the resolution of critical pipeline failures and data-quality incidents, performing fault analysis and ensuring that preventative improvements are implemented. * Lead critical system-design and architectural decisions for scalable batch and real-time workloads. * Partner with cross-functional teams to translate complex or ambiguous business needs into effective and innovative data solutions. * Mentor engineers, review technical designs and foster a culture of continuous learning and engineering excellence. * Own improvements to the reliability, performance and cost-effectiveness of data systems. * Lead the design and maintenance of robust, secure integrations with core internal systems and critical third-party platforms. * Define appropriate monitoring and alerting standards to ensure high system reliability and minimal downtime. Skills, Knowledge and Experience  * Significant experience in data engineering or data warehousing with large-scale, complex datasets. * Advanced SQL and Python skills, with experience using AI-assisted development tools appropriately. * Strong knowledge of data-modelling techniques. * Deep experience with cloud data services and technologies, ideally within the GCP ecosystem, such as Dataflow, Pub/Sub, BigQuery or Vertex AI. * Proven experience designing and implementing robust ELT pipelines, including real-time and large-scale batch processing. * Proven ability to deploy and maintain data infrastructure using Infrastructure as Code principles and tools such as Terraform. * Experience with Airflow environment management and Docker. * Experience contributing to an AI roadmap and evaluating AI tooling, including coding agents, for use within the development lifecycle. * The ability to explain complex technical concepts clearly and concisely to technical and non-technical stakeholders. * Demonstrable experience applying data-governance, privacy and security best practices in a regulated environment. * A proactive and curious approach, with the ability to anticipate and resolve system inefficiencies. * The ability to lead cross-functional technical work and translate complex or ambiguous requirements into robust data solutions. * A track record of taking end-to-end ownership for the quality, reliability and performance of business-critical data solutions. * Experience mentoring engineers and influencing technical standards across a team. What can we offer?  * Company Performance Bonus * Flexible Working Agreements where applicable * Private Healthcare Scheme + Employee Enhanced Assistance * Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay * Subsidised Gym Membership * Annual Travel Card Loan & Ride to Work Scheme * Life Assurance (x3 salary) * Contributory Pension Plan * Virgin Family: Giving you access to exclusive Virgin offers and experiences * Thursday drinks in the office and regular socials

Here’s a summary of the role:   Data is only powerful when everyone agrees what it means.       We’re revamping how we measure success and end user value delivery across our portfolio of products, and this role sits at the centre of it — the person who makes one number mean the same thing in every room, the person who builds the data foundations that drive actionable behavioural insights. As our Lead for Product Data & Telemetry, you’ll design the single source of truth for how we measure our products: the metric definitions, the telemetry standards and the governance model that every dashboard, business review and roadmap is built on.     You’ll define the data contract that engineering teams instrument against, and build the models that turn raw product telemetry into portfolio-level insight — with federated data governance as the operating principle rather than an afterthought. AWS/Snowflake is our warehouse spine. The capture and BI layers are open decisions and you will help make them, so you are joining early enough to choose the tools rather than inherit them. The work has a short route to the top. Your models feed the monthly and quarterly business reviews that our executive team, our CTO and our investors use to run the portfolio. Not many roles at this level sit that close to the decisions.    This is sponsored at executive level, and engineering teams will instrument against the contract you define. You will not be writing standards into a vacuum.    This is a hands-on senior individual-contributor role for someone who thinks in schemas, metrics, definitions and governance — you can write clean SQL, design an event schema, and hold a standard across teams you don’t manage.     The ambition is world class: a governed telemetry and product-analytics capability strong enough to run a 30-product portfolio on, and you are at the centre of building it.    You’ll sit at the centre of the Product Operations function, working shoulder to shoulder with product, engineering, data and analytics leaders — and your work will shape how the company sees its own products.  Here’s what your first twelve months should look like:  * First 90 days. Learn the estate and meet the engineers who instrument it. Agree the measurement model for one product end to end and put a defensible adoption number in front of the business. One narrow, visible win before we scale anything.  * Three to six months. Data contract published, instrumentation specification landed with engineering, and the first business unit building against it. Definitions, naming and change control in place and governed.  * Six to twelve months. The model rolling out across the remaining business units through the BU-aligned analysts, portfolio adoption and value reporting running on your numbers, and the tooling decisions made and implemented.  Here’s a breakdown of what you’ll do (not all of it, just the important stuff):  * Partner with our data governance and enterprise architecture teams on the product, customer and user taxonomies — making sure they are clear, and that product telemetry is modelled and segmented against a single agreed source of truth rather than local variants.  * Own the product measurement standard — canonical metric definitions, naming conventions, field ownership and change control, applied consistently across every business unit.  * Write the instrumentation specification that engineering teams build against, and partner with them to land telemetry against the data contract.  * Build the analytics and data models — SQL, BI and roll-up logic — that turn product telemetry into portfolio-level insight on adoption and value.  * Own data quality assurance: coverage, freshness and reconciliation, so monthly and quarterly business reviews run on measurement with known provenance.  * Set the technical standard for a team of BU-aligned analysts, acting as their reference point as they roll the standards out across the business.  * Help shape the direction of our product analytics stack as we revamp it — capture, warehouse and BI — so the measurement model and the tooling are designed together rather than bolted on.  These are the essentials you’ll need to get an interview:  * Proven experience designing and governing product data models and taxonomies — you’ve taken canonical metrics and naming standards into a complex, multi-product estate and made them stick.  * Strong data governance practice: schema and field ownership, change control, and a track record of driving standards adoption across teams you don’t own.  * Fluency in SQL and the BI / data-warehouse layer — you can build and validate roll-up logic yourself.  * Enough data-engineering literacy to design event and telemetry schemas (Pendo, Amplitude, Segment or similar) and write an instrumentation spec engineers respect.  * Experience standing up a data contract, taxonomy or metrics layer in a product or analytics context, ideally B2B SaaS — including the reality of bringing acquired products onto a shared measurement model.  * The credibility to influence without authority — you can hold a standard with engineering and product teams you don’t line-manage.  * A collaborative, pragmatic style and a bias for making things clear, simple and usable for the people who rely on your data.    It would be great if you had these too, but we’ll support you if you don’t:  * Experience with the modern product-ops tool stack — Salesforce, Jira Product Discovery, Pendo — and with consolidating fragmented tooling into a single system of record.  * Exposure to product value / ROI measurement — connecting product usage to customer and commercial outcomes.  * Familiarity with GRC, governance or regulated-software domains.  * A track record of building data capabilities from the ground up in a scaling business.  Here’s where this role goes next:    We are building this function, not maintaining it. You set the technical standard that the BU-aligned analysts land across the business, which means technical leadership from day one without waiting for a management line.    As the function grows, the routes from here are principal-level ownership of product data across Diligent, or leading the team that runs it. We would rather be straight with you about that than promise a title we cannot yet name. The scope is real, and it is expanding.  #LIHybrid      About Us Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.  At Diligent, we're building the future with people who think boldly and move fast.  Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking.  Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity.  The future belongs to those who keep learning, and we are building it together.  At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact. Learn more at diligent.com or follow us on LinkedIn [https://www.linkedin.com/company/diligent-board-member-services/mycompany/verification/] and Facebook [https://www.facebook.com/DiligentCorporation/]     What Diligent Offers You  * Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients * We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few * We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney. * Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding. Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.  Headquartered in New York, Diligent has offices in Washington D.C.,  London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney.   To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.   We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy [https://www.diligent.com/company/eeo-policy/] and Know Your Rights [https://www.diligent.com/-/media/project/diligent/master/eeo-is-the-law-poster-eeocselfprintposter-and-ofccp-supplement-from-20170719.pdf?rev=96fafda8-f51d-44b6-a380-9af42898f526&hash=614AE342F4AB51A091EA3E15F84F7E49]. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com [recruitment@diligent.com]. At Diligent, we recognize the value of a diverse global workforce. Visa sponsorship may be available for select positions based on business needs and specific role requirements. Sponsorship decisions are evaluated on a case-by-case basis, and eligibility should not be assumed for all opportunities. Please find the link to our candidate privacy policy here:  https://www.diligent.com/legal/candidate-privacy [https://www.diligent.com/legal/candidate-privacy] https://www.diligent.com/legal/candidate-privacy To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.