Senior Manager - Data Science (Martech/CRM)

Map; Barcelona; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

Map, located in Barcelona, Spain, is seeking a Lead Data Scientist to drive their data science practice. This role involves team leadership, advising clients, and delivering high-quality data science initiatives. The ideal candidate will possess strong technical skills in ML, statistical analysis, and proficiency in Python.

The candidate will manage a small team, contribute to complex data projects, and strategically guide clients in leveraging data for better marketing outcomes.

Formación

• 5–8 years of hands-on data science experience combining technical depth with client advisory.
• Strong expertise in statistical analysis and ML techniques.
• Proficiency in Python and advanced SQL.

Responsabilidades

• Lead a team of data scientists, managing hiring and personal development.
• Contribute to high-complexity ML initiatives.
• Advise clients on data science strategies.

Conocimientos

Statistical analysis

Machine learning techniques

Python proficiency

Advanced SQL

Data modeling

CRM knowledge

Cloud platform experience

Educación

5–8 years of hands-on data science experience

Herramientas

Adobe

Salesforce

Braze

GCP

AWS

Azure

Descripción del empleo

Who We Are

WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where AI is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. We work alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses.

We’re looking for a Lead Data Scientist and manager of the practice to lead this next chapter. You will 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.

Client demand is growing. You will 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.

What will your day look like?

• Lead & Grow the Team: 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. Identify skill gaps, plan for future needs, and scale the team as the practice grows. Foster a culture of knowledge sharing, curiosity, and quality.

• Build, Not Just Oversee: 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.

• Advise Clients Strategically: Partner with account and strategy teams on scoping, proposals, and commercial conversations; you are a credible voice in the room when clients are deciding where to invest. Act as a trusted data advisor. Proactively identify gaps and untapped opportunities in clients’ data and marketing ecosystems. Translate complex findings into business recommendations. Anticipate business needs and challenges; build lasting client relationships as the go-to person for data science matters.

• Deliver End-to-End with Quality: 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.

• Lead the team into Agentic AI: Champion agentic AI as both a way of working and a delivery capability. Coach data scientists to adopt AI-native engineering practices and lead the design of agentic solutions for clients. Demonstrate experience shipping or prototyping agentic solutions and have a clear point of view on where they create real value.

• Apply CRM & Marketing Domain Expertise: 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.

• Shape the Practice: Establish guidelines, ways of working, and reusable accelerators. Maintain a backlog of data science use cases. Contribute to roadmapping, maturity frameworks, and the data science product catalogue alongside the Global Data Practice Lead.

Who are you going to work with?

You 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.

What do you bring to the table?

Data Science & Technical

• 5–8 years of hands-on data science experience combining technical depth with client advisory.
• Strong expertise in statistical analysis, experimentation, ML techniques (regression, classification, clustering, hypothesis testing, next best action modelling).
• Proficiency in Python and advanced SQL.
• Solid grasp of adjacent domains: data modelling, ETL/ELT strategy, no-SQL databases, pipeline design—enough to collaborate credibly with engineers and architects.
• Domain knowledge in CRM and marketing technology: campaign metrics, measurement frameworks, and experience with platforms such as Adobe, Salesforce, or Braze.
• Cloud platform experience (GCP, AWS, or Azure).

• Advisory & Business: Consulting craft—Run client conversations end-to-end, scoping problems, shaping proposals, writing SOWs, contributing to RFPs, and defending recommendations. Comfortable moving between boardroom narrative and technical detail. Prior consulting or agency experience expected.
• Commercial & 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.

• People Management: Demonstrated experience managing a team: mentoring, performance reviews, hiring, and day-to-day support. Formal management experience is essential. Coaching-oriented leadership style. Comfort scaling a team that\'s still taking shape. Emotional intelligence, empathy, and conflict resolution skills. Excellent communication skills in English.

• Nice to Have: Agency or consultancy experience in fast-paced, multi-client environments. CRM certifications (e.g., Adobe CJA, RTCDP). Familiarity with data governance and privacy (GDPR, CCPA). Experience with out-of-the-box vendor intelligent services. Exposure to agentic AI or AI-driven automation use cases. Management or leadership certifications.

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper-personalization at scale, marketing automation and CRM. We are a diverse team of technology specialists, data scientists, consultants, and creative minds.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, valuing connection, belonging, and difference.

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About WPP

WPP is the trusted growth partner for leading brands, combining data, creativity, production, and enterprise solutions. For more information, visit WPP.com. WPP (MAP/VML) is an equal opportunity employer and considers applicants for all positions without discrimination. For privacy information, please review our Privacy policy and related notices.