Senior Manager - Data Science (Martech/Crm)

ph3Senior Manager - Data Science (Martech/CRM) /h3 pbAbout WPP /b /p pWPP is the trusted growth partner for the world's leading brands.We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company -powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.For more information, visit WPP.com./p pWe're looking for a Lead Data Scientist and manager of the practice to lead this next chapter.You'll own the data science practice end-to-end; building and managing the team, advising clients on what's possible, and delivering work that raises the bar for what data can do within marketing ecosystems./p pClient demand is growing.And you'll have real autonomy to shape what this practice becomes: the product offering, the ways of working, and how data science becomes an accelerator that elevates the work of activation, engineering, and insights teams around you./p h3What will your day look like?/h3 ul libLead Grow the Team /b: Manage a team of data scientists end-to-end; hiring, onboarding, personal development, performance conversations, and day-to-day support.Coach team members technically and professionally.br/Identify skill gaps, plan for future needs, and scale the team as the practice grows.Foster a culture of knowledge sharing, curiosity, and quality./li libBuild, Not Just Oversee: /b Personally contribute to high-complexity initiatives; designing and shipping ML models, training and inference pipelines, and experimentation frameworks.Bring deep, hands?on expertise in marketing-relevant techniques: uplift modelling, propensity scoring, attribution, next best action, segmentation, causal inference, and recommender systems.Set the technical bar through code and craft, not just review./li libAdvise Clients Strategically /b: Partner with account and strategy teams on scoping, proposals, and commercial conversations: you're a credible voice in the room when clients are deciding where to invest.br/Act as a trusted data advisor.Proactively identify gaps and untapped opportunities in clients' data and marketing ecosystems.Translate complex findings into business recommendations.br/Anticipate business needs and challenges; build lasting client relationships as the go-to person for data science matters./li libDeliver End-to-End with Quality: /b Lead complex data science initiatives from hypothesis and experimentation through model development, validation, and activation.Collaborate closely with Data Engineers and Architects so solutions are grounded in solid infrastructure.Own quality across all team deliverables, with discipline in statistical methods, reproducibility, and insight generation./li libLead the Team into Agentic AI: /b Champion agentic AI as both a way of working and a delivery capability.Coach data scientists to adopt AI-native engineering practices (agentic coding, AI-assisted development, prompt and context engineering) and lead the design of agentic solutions for clients: from internal accelerators to production?grade agents embedded in marketing workflows.We expect you have shipped or prototyped agentic solutions and have a clear point of view on where they create real value./li libApply CRM Marketing Domain Expertise: /b Contextualize data science within clients' CRM, campaign, and personalization strategies.Leverage hands?on experience with platforms like Adobe AEP, Salesforce Data Cloud, or Braze to extend marketing measurement and influence communications from a data perspective./li libShape the Practice: /b Establish guidelines, ways of working, and reusable accelerators.Maintain a backlog of data science use cases.Contribute to road?mapping, maturity frameworks, and the data science product catalogue alongside the Global Data Practice Lead./li /ul h3Who are you going to work with?/h3 pYou will lead a small, technically capable team of data scientists who need a manager with both technical credibility and genuine investment in their growth.Beyond your team: Data Engineers, Architects, Strategy Consultants, Account teams, and clients directly./p h3What do you bring to the table?/h3 pbData Science Technical /b /p ul li5-8 years of hands?on data science experience combining technical depth with client advisory./li liStrong expertise in statistical analysis, experimentation, ML techniques (regression, classification, clustering, hypothesis testing, next best action modelling)./li liProficiency in Python and advanced SQL./liliSolid grasp of adjacent domains: data modelling, ETL/ELT strategy, no?SQL databases, pipeline design-enough to collaborate credibly with engineers and architects./li liDomain knowledge in CRM and marketing technology: campaign metrics, measurement frameworks, and experience with platforms such as Adobe, Salesforce, or Braze./li liCloud platform experience (GCP, AWS, or Azure)./li /ul pbAdvisory Business /b /p ul liConsulting craft: Run client conversations end-to-end - scoping problems, shaping proposals, writing SOWs, contributing to RFPs, and defending recommendations under challenge.Comfortable moving between boardroom narrative and technical detail in the same meeting.Prior consulting or agency experience expected./li liCommercial advisory instinct: Track record of identifying data?driven opportunities, building maturity roadmaps, and translating data science into business outcomes.Sound judgement on effort, ROI, and prioritisation by impact./li /ul pbPeople Management /b /p ul liDemonstrated experience managing a team: mentoring, performance reviews, hiring, and day?to?day support.Formal management experience is essential./li liCoaching?oriented leadership style.You grow people through trust, feedback, and investment-not top?down direction./li liComfort scaling a team that's still taking shape: anticipating needs, defining roles, onboarding effectively./li liEmotional intelligence, empathy, and conflict resolution skills./li /ul pExcellent communication skills in English./p pbNice to Have /b /p ul liAgency or consultancy experience in fast?paced, multi?client environments./li liCRM certifications (e.g., Adobe CJA, RTCDP)./li liFamiliarity with data governance and privacy (GDPR, CCPA)./li liExperience with out?of?the?box vendor intelligent services./li liExposure to agentic AI or AI?driven automation use cases./li liManagement or leadership certifications./li /ul pWPP (VML MAP) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics.We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers./p /p #J-*****-Ljbffr

h3 pbData Science Technical /b /p ul li5-8 years of hands?on data science experience combining technical depth with client advisory. /li liStrong expertise in statistical analysis, experimentation, ML techniques (regression, classification, clustering, hypothesis testing, next best action modelling). /li liProficiency in Python and advanced SQL. /liliSolid grasp of adjacent domains: data modelling, ETL/ELT strategy, no?SQL databases, pipeline design-enough to collaborate credibly with engineers and architects. /li liDomain knowledge in CRM and marketing technology: campaign metrics, measurement frameworks, and experience with platforms such as Adobe, Salesforce, or Braze. /li liCloud platform experience (GCP, AWS, or Azure). /li /ul pbAdvisory Business /b /p ul liConsulting craft: Run client conversations end-to-end - scoping problems, shaping proposals, writing SOWs, contributing to RFPs, and defending recommendations under challenge. Comfortable moving between boardroom narrative and technical detail in the same meeting. Prior consulting or agency experience expected. /li liCommercial advisory instinct: Track record of identifying data?driven opportunities, building maturity roadmaps, and translating data science into business outcomes. Sound judgement on effort, ROI, and prioritisation by impact. /li /ul pbPeople Management /b /p ul liDemonstrated experience managing a team: mentoring, performance reviews, hiring, and day?to?day support. Formal management experience is essential. /li liCoaching?oriented leadership style. You grow people through trust, feedback, and investment-not top?down direction. /li liComfort scaling a team that's still taking shape: anticipating needs, defining roles, onboarding effectively. /li liEmotional intelligence, empathy, and conflict resolution skills. /li /ul pExcellent communication skills in English. /p pbNice to Have /b /p ul liAgency or consultancy experience in fast?paced, multi?client environments. /li liCRM certifications (e.g., Adobe CJA, RTCDP). /li liFamiliarity with data governance and privacy (GDPR, CCPA). /li liExperience with out?of?the?box vendor intelligent services. /li liExposure to agentic AI or AI?driven automation use cases. /li liManagement or leadership certifications. /li /ul pWPP (VML MAP) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

ph3Senior Manager - Data Science (Martech/CRM) /h3 pbAbout WPP /b /p pWPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company -powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.