Warner Music Group

About the Team The Data & Insight team works with the Frontline & Catalogue labels, Commercial & Finance teams on track & artist performance, partner & competitor performance analysis, market trends, risks & opportunities. Sometimes as part of a team, sometimes solo but always delivering timely, clear and actionable insight and recommendations. Your role Championing data lead decision making, this position requires a blend of technical expertise, market knowledge, and the ability to translate complex data sets into clear, impactful narratives. You will be expected to explore and leverage AI/Generative AI tools to streamline workflow, enhance data visualization, and improve strategic storytelling. Day to Day Anticipate stakeholder needs and provide data driven solutions to support their strategic objectives. Visualize KPIs related to artist performance, track consumption, market share, and marketing/promotional effectiveness. Develop and deliver tailored presentations to senior management, adapting the complexity and detail to the audience, leveraging Generative AI tools where appropriate to refine narratives and enhance visual communication. Provide insights that inform long term strategic planning and shape long term artist development and marketing strategies. Dashboard Development & Maintenance Use WMG internal systems such as Opus, Sodatone, Tableau & Snowflake to interpret sales, pre order & streaming data. Interrogate external partner interfaces from Amazon, Apple, Spotify and YouTube, as well as external websites such as OCC, BPI, Midia & ChartMetric. Design, build, and maintain insightful and user friendly dashboards that bring together these data sources to provide actionable insights. Ensure data accuracy and timely updates of all dashboards. Proactively find opportunities to improve existing dashboards and develop new analytical tools anticipating stakeholder needs, including the deployment of low code/AI assisted workflow automations. Market Analysis Continuously monitor and analyse market trends, competitor performance and consumer behaviour. Identify shifts in consumption patterns, genre popularity, and emerging opportunities/risks. Provide regular reports and presentations on market dynamics. Cross Functional Collaboration Integrate data driven insights on artist streaming & social performance, audience demographics, and potential reach into strategic recommendations. About you At least 5 years' experience working in a record label, platform or company affiliated to the music business. Strong written and verbal communication skills. Highly organized and detail oriented with ability to manage multiple projects and prioritise effectively. Familiarity with foundational AI/Generative AI concepts (e.g., LLMs, prompt engineering), experience using these tools to optimise data preparation, summarisation and presentation, and keen to expand in this area. Expert knowledge of Excel/Sheets, Powerpoint/Slides, SQL, Dashboarding platforms (Tableau/Looker). Additional Skills Proficiency in Python for data analysis and automation. Application Note We are looking for a forward thinking Analyst who actively embraces modern workflows. Highlight specific examples of how you have used Generative AI (e.g., LLMs, prompt engineering) to optimise and streamline data preparation. Please include examples in your CV or cover letter. Employment Terms This position requires a minimum of 4 days per week in the office. We value in office collaboration, which is essential for talent development and strong working relationships. Equal Opportunity Statement WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religion or belief, age, sex, sexual orientation, gender, gender identity or gender reassignment, marital or civil partnership status, disability, pregnancy, childbirth or any other characteristic protected by law.

Warner Music Group is seeking an experienced Analyst to champion data-led decisions within the Data & Insight team. This role involves leveraging AI tools for workflow improvements and data visualization. The ideal candidate will possess over five years in the music business, exceptional organizational skills, and proficiency in tools like Tableau and SQL. Join us in fostering collaboration while providing impactful insights to enhance strategic decisions.

Warner Music Group is seeking an experienced Product Manager for their Global Business Services (GBS) team. This role involves driving the vision, strategy, and roadmap for their enterprise-level internal case management system built on the Pega platform. The ideal candidate will have a Bachelor's degree in a related field and 3-5 years of experience in Product Management. Responsibilities include overseeing project management, prioritizing the product backlog, and leading Agile ceremonies.

Product Manager - Pega Global Operations Warner Music Group's Global Business Services (GBS) needs a seasoned Product Manager to drive the vision, strategy, and roadmap for our enterprise-level internal case management system built on the Pega platform. Responsibilities Implement a multi-year product strategy for Pega, including project management of system upgrades and improvements. Prioritize the product backlog based on business impact, ROI, and technical feasibility. Lead discovery sessions with business units to identify pain points and opportunities. Translate requirements into high-quality user stories, process maps, and functional specifications for Pega's Case Management and Decisioning engines. Communicate progress with executive leadership on enhancement status, product health, and delivery milestones. Partner with external Pega architects (LSA) and Lead Business Architects (LBA) to leverage out-of-the-box functionality while maintaining platform integrity. Run Agile ceremonies, including sprint planning, daily stand-ups, estimation sessions, and retrospectives; ensure clear definition of "ready" and "done." Oversee User Acceptance Testing, training documentation, and change management initiatives to achieve high user adoption. Define and track key performance indicators to measure success and drive iterative improvement. Ensure SOX compliance by documenting, testing, and approving each change with business units and leadership. Qualifications Bachelor's Degree in Computer Science, Information Technology, Business Administration, or equivalent. 3-5 years of Product Management experience in enterprise software, CRM, or BPM. Proven record of leading cross functional Agile/Scrum teams. Strong understanding of API integrations, microservices architecture, and cloud deployment models related to Pega. Ability to work autonomously with accountability and strong communication, organization, and coordination skills. Track record of building strong client relationships and delivering projects on time under pressure. Preferred Skills Hands on Pega Platform experience; familiarity with Pega Strategic Applications (e.g., Pega Customer Service, Pega Sales Automation). Pega certifications: CPBA, CSA/CSSA, or CSPO; Lean Six Sigma; Pragmatic Institute. Experience in a shared services environment and within a Finance function. Experience using Figma to create mock ups. Music industry experience is a plus. Equal Opportunity Employer WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religion or belief, age, sex, sexual orientation, gender identity or gender reassignment, marital or civil partnership status, disability, pregnancy, childbirth or any other characteristic protected by law.

Warner Music Group is seeking a Machine Learning Engineer to lead AI transformation efforts. The role involves developing advanced machine learning models and ensuring their reliable deployment into production systems. Candidates should have a relevant degree, 2+ years of experience in machine learning, and strong Python skills. This position supports hybrid working conditions, fostering innovation in the music and entertainment sector.

Machine Learning Engineer - AI Transformation Reporting to the VP Data Solutions & Innovation within the Business Intelligence organization. This role is the technical engine of our AI transformation. You will be responsible for bringing our most impactful AI models out of the lab and scaling them into reliable, high-performance production systems. Hybrid (). Key Responsibilities Rapid Modeling & Experimentation: Design, develop, and benchmark state-of-the-art machine learning models (forecasting, segmentation, recommendation, NLP, etc.) with a strong emphasis on quick iteration and scientific validation of new concepts. Generative AI & Exploration: Lead hands on technical exploration into advanced techniques, including LLMs, RAG architectures, and Generative AI applications to create new forms of automated analysis and augmented intelligence products. Production Engineering & MLOps: Translate validated prototypes into robust, production ready specifications, and lead the implementation of MLOps best practices (CI/CD, monitoring, serving) required for the reliable deployment of models. Complex Data & Feature Engineering: Deeply explore complex, multi modal data (e.g., high dimensional data, text, time series) defining the necessary features and data pipelines to support highly accurate experimental models for strategic analysis. Cross Functional Collaboration: Work closely with the Product Manager, Data Scientists, and business stakeholders to ensure technical solutions maximize tangible business impact and adhere to ethical AI standards. Technology Scouting: Drive innovation through hands on exploration of new AI technologies, including LLMs, GenAI, and vector databases, and evaluate their practical application to our music and operational data. Knowledge Transfer: Contribute to AI adoption and technical literacy across the company through clear documentation, workshops, and knowledge sharing with both technical and non technical teams. Skills & Experience Education: Bachelor's degree required in Applied Mathematics, Computer Science, Software Engineering, or a highly technical quantitative discipline. A Master's degree (MS) or higher is strongly preferred. Experience: 2+ years of professional experience as a Machine Learning Engineer, Applied ML Scientist, or similar role, with a clear focus on productionizing models and advanced AI techniques. Technical Depth: Strong expertise in Python development and established skills in deploying and managing the full lifecycle of complex ML/DL models. Experience with advanced analysis of unstructured or multi modal data (e.g., high dimensional feature vectors, dense embeddings) is highly valued. MLOps Mindset: Proven track record of transforming R&D proofs of concept into robust, scalable, and monitored production grade ML solutions. Engineering Rigor: A background in software engineering best practices (clean code, testing, Git) is essential. Communication: Exceptional ability to communicate complex concepts and model limitations clearly and effectively to product and non technical stakeholders. Domain Affinity: High curiosity and enthusiasm for music, entertainment, or culture is a strong plus. WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religion or belief, age, sex, sexual orientation, gender, gender identity or gender reassignment, marital or civil partnership status, disability, pregnancy, childbirth or any other characteristic protected by law.