Role Description Join Kohler’s AI Innovation team – Enterprise Architecture Office team to design and deliver Generative Business Intelligence (GenBI) / Conversational AI solutions that enable trusted, self service analytics and AI assisted insights. As a GenBI Engineer I, you will focus on enterprise data modeling, certified data assets, and metadata enrichment, while building conversational and GenAI powered BI experiences using Databricks Genie, Microsoft Copilot and/or Fabric Data Agents. You will work extensively with Databricks, Unity Catalog, and/or Microsoft Fabric - One Lake, contributing to standardized semantic models aligned with the Common Data Model (CDM). The role emphasizes data trust, governance, discoverability, and AI ready datasets that power dashboards, copilots, and embedded analytics across the enterprise. - Design, build, and maintain enterprise grade data models (facts, dimensions, and semantic layers) optimized for BI and GenAI consumption. - Develop and manage certified data assets in Databricks and/or Microsoft Fabric OneLake, aligned to the Common Data Model (CDM). - Implement metadata enrichment and governance using Databricks Unity Catalog, including business metadata, data classifications, ownership, lineage, and certification. - Build GenBI applications using Databricks Genie, Microsoft Copilot and/or Fabric Data Agents, enabling natural language analytics, conversational BI, and insight generation. - Hands on building SQL expressions within Databricks Genie to improve query processing, reduce latency. - Creating benchmarks and instructions within Databricks Genie/ MSFT CoPilot to improve grounding and accuracy of Conversational AI models. - Partnering with Cybersecurity to create right AD groups, access management and AD group mapping to Genies. - Partner with data engineers to curate gold layer datasets (Delta tables / Lakehouse models) that are analytics and AI ready. - Develop semantic definitions, KPIs, and metrics to ensure consistent enterprise reporting and AI interpretations. - Enable self service analytics by publishing governed datasets and models for Power BI, Databricks SQL, and Copilot experiences. - Apply data quality, validation, and observability checks to ensure accuracy, freshness, and reliability of certified datasets. - Support responsible AI and data governance practices, including PII classification, access controls, and auditability. - Document data products, models, and GenBI use cases, including business definitions and success metrics. Qualifications - 4–6 years of experience in data engineering, BI engineering, analytics engineering, or strong academic/portfolio projects. - Strong SQL skills and proficiency in Python for data transformation and validation. - Experience or exposure to data modeling concepts (star schema, snowflake, semantic models, metrics layers). - Familiarity with Databricks (Delta Lake, Databricks SQL) and/or Microsoft Fabric (One Lake, Warehousing) and proven track record of building GenBI application/Conversational analytics leveraging Databricks Genie. - Understanding of metadata, data governance, and cataloging concepts. - Experience with Git based version control and CI/CD for data pipelines or analytics artifacts. - Strong analytical thinking, problem solving, and ability to collaborate with business and technical stakeholders. Preferred Experience - Hands on experience with Databricks Unity Catalog for data governance, lineage, and certification. - Experience building and consuming Common Data Model (CDM) aligned datasets. - Exposure to Databricks Genie, Microsoft Copilot, or conversational BI models and tools. - Knowledge of BI tools such as Power BI or Databricks SQL dashboards. - Familiarity with enterprise domains such as Finance, Procurement, HR, Supply Chain, or Manufacturing analytics. - Understanding of data quality frameworks, KPI definitions, and metric governance. - Relevant certifications (e.g., Databricks Data Engineer, Fabric Analytics Engineer, Power BI). Success Metrics - Delivery of certified, well documented data assets adopted by BI and GenAI use cases. - Demonstrated improvements in data trust, discoverability, and self service analytics adoption. - Successful enablement of GenBI experiences with accurate, explainable, and governed results. - Adherence to enterprise architecture, data governance, security, and responsible AI standards. Benefits - We empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing. - Access to career growth and development opportunities. - A diverse and inclusive workplace. - A strong culture of innovation.

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. • Analyze and synthesize data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. • Develop custom data models & algorithms and create data visualizations (reports and dashboards) to support user stories and drive actionable insights. • Drive discussions on data and insights, context, and implications with business and technology partners. • Identify, design, and implement internal process improvements & best practices such as automation of manual processes, optimization of data models and re-design of visualization for greater scalability. • Implement observability tools that will allow for tracking of data quality, users & performance and to enable strategic planning of product enhancements & process improvements. • Perform root cause analysis on logic changes & bug identification to identify opportunities for product improvement. • Create and maintain product-related documentation (e.g. project plans, business & technical requirement documents, etc.). • Communication of technical specifications to ensure that proper and optimized techniques, queries, and final deliverables are understood and incorporated into data and analytics processes. • Comply with and adhere to all regulatory compliance areas, policies and procedures (including HIPAA requirements), and "leading practices". • Responsible for mentorship of junior team members. • Serve as technical liaison to business users. • Contribute to innovative strategies by exploring, investigating, and implementing new data-centric analytics representing industry changes.

• Develop and maintain dashboards, reports, and management panels in Microsoft Power BI. • Gather requirements from business areas to understand information needs. • Perform data modeling and build metrics and performance indicators (KPIs). • Extract, transform, and consolidate data from different sources. • Support data analysis and generate insights to assist decision-making. • Ensure the quality, consistency, and timeliness of information provided to users. • Participate in continuous improvement initiatives for BI processes and data governance. • Prepare technical and functional documentation for developed reports and indicators. • Provide user support for the use of analytical solutions.

Role Description Vable is building a new business intelligence layer - companies, deals, industries, people - that will sit alongside our existing legal intelligence product and open up a new market for us. This role owns the build. You will work the data hands-on using new tools we are developing, solve real problems for real clients, and grow into managing a small team as the product proves itself. If you are looking for a role where the work is visible, the impact is measurable, and there is genuine room to grow - this is it. What You Will Do - Build and maintain the product: - Take ownership of Vable's business intelligence data - the companies, deals, industries, and people that our clients use for BD, marketing, and client development. - Work hands-on with our data management tools to curate, classify, and improve the dataset day to day. - Identify gaps in coverage and quality, diagnose the root causes, and work with the product and engineering teams to fix them. - Maintain and improve our source and publisher database - ensuring everything is correctly categorised and up to date. - Use AI tools pragmatically to find better, faster ways of working - evaluate what works, refine what doesn't. - Understand and serve clients: - Develop a clear understanding of how lawyers, BD teams, and marketing professionals in law firms use business intelligence - what they need, what frustrates them, and what would make Vable indispensable. - Feed that understanding back into how we prioritise and improve the product. - Where relevant, engage directly with clients to validate what we are building. - Work with the broader team: - Work closely with the Head of Content Intelligence and Head of Product on product direction and priorities - your domain knowledge and hands-on experience of the data will directly inform roadmap decisions. - Work with the PM responsible for content intake on ensuring we are monitoring the right sources. - Contribute a view on the competitive landscape - the tools your future users currently use and where Vable can win. - Build the function over time: - In the early stage this is largely a solo role - you will be doing the work yourself. - As the product proves itself you will bring in support, starting with a legal intelligence specialist, and grow into managing a small team. Qualifications - 3-6 years experience in or around law firms or professional services - in a BD, marketing, research, operations, or data role. - Familiarity with business intelligence tools - Mergermarket, Refinitiv, DealCloud, Bureau van Dijk, or similar - and a clear understanding of the data and how it is used. - Strong problem-solving instinct - you spot issues, figure out an approach, and get on with it. - Comfortable working with new tools and technologies - you pick things up quickly and find practical applications. - Clear communicator - able to talk to lawyers, BD professionals, and product and engineering teams. - Self-starter - you do not need a complete brief to make progress. - The right to live and work in the UK. Requirements - Experience working with or alongside product or technology teams. - Hands-on experience working with data - interrogating it, cleaning it, or maintaining it. - Familiarity with AI tools in a practical, hands-on context. - Some exposure to legal intelligence - cases, legislation, legal sectors - in addition to business intelligence. What This Is Not - A senior strategy role. You will be doing the work yourself in the early stage - that is not a stepping stone, it is how you build something properly. - A role with a fully resourced team from day one. You will start largely solo and grow the team as the product proves itself. - A role for someone who needs certainty and a detailed playbook. The early stage requires initiative and comfort with ambiguity. Benefits - Real ownership of a new product area - this is not a feature on someone else's roadmap. - A direct line to the Head of CI and genuine influence over what gets built and how. - Room to grow - from hands-on builder to a lead managing a small team as the product matures. - Work that is visible - in a small team, what you do shows up directly in the product and in client outcomes. - A technically interesting problem at the intersection of structured data, AI-assisted curation, and legal professional services. - Fully remote working (UK). - Salary £55,000 - £60,000 depending on experience. Ready to Apply? Submit your CV, cover letter and answer the application question's. The process runs over 2–3 weeks (around 5 hours of your time) and includes an intro call with the People team, various other interviews. 🎥 We record recruitment calls with your permission to ensure fairness across our remote team. We hire based on skills, potential and passion, and are an equal opportunities employer.