Process and Data Automation Manager

WPP isthecreative transformation company. We use the power of creativity to build better futures for our people,planet,clientsand communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

At WPP Media, we believe in the power of our culture and our people.It’swhat elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to InspiretransformationalCreativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

We are seeking a senior professional to drive our Business Transformation initiatives, with a strong focus on Project Management, Process & Data Automation, and applied Artificial Intelligence.

This role plays a transversal and strategic part within the organization, acting as a bridge between business, operational teams, and technology. The objective is to improve efficiency, quality, control, and scalability of processes while accelerating business value through structured automation and pragmatic AI adoption.

The ideal candidate combines technical expertise, solid project management capabilities, and a hands‑on, execution‑driven mindset, with the ability to operate effectively in complex and evolving environments.

Key Responsibilities

Strategy and Vision:

• Define and execute a structured process and data automation strategy aligned with business and organizational objectives.
• Identify high‑impact automation and transformation opportunities by analysing business processes and data flows across multiple functions.
• Evaluate emerging technologies, including AI, and recommend their adoption with a pragmatic, value‑driven approach.
• Promote a culture of efficiency, standardization, scalability, and continuous improvement.

Process Automation:

• Lead the full lifecycle of automation initiatives, from requirements gathering and solution design to development, testing, deployment, and ongoing evolution.
• Work closely with business stakeholders to understand operational pain points, map as‑is and to‑be processes, and define clear success metrics.
• Ensure automation solutions are robust, scalable, and well‑governed, in line with best practices and internal standards.
• Reduce dependency on manual and repetitive activities, improving speed, reliability, and operational control.

Data Automation:

• Design, build, and maintain automated processes for integrating heterogeneous data sources, ensuring data quality, consistency, and accessibility.
• Implement automated data validation, cleansing, and transformation solutions to support analytics, reporting, and operational systems.
• Collaborate with data engineering, data science, and analytics teams to automate data ingestion, processing, and delivery.
• Contribute to the application of data governance principles and data quality standards.
• Lead the adoption of Artificial Intelligence applied to business processes and data workflows, with a pragmatic and value‑oriented approach.
• Identify, design, and implement concrete AI use cases aimed at improving operational efficiency, output quality, process control, and scalability.
• Integrate AI solutions into existing workflows and tools, avoiding isolated experimentation and ensuring sustainability and governability over time.
• Leverage AI to support:
  • process automation and optimization
  • data quality control and normalization
  • insight synthesis and structuring
  • operational support for repetitive or low–value‑added activities
• Define guidelines, best practices, and usage frameworks for AI, ensuring responsible, controlled adoption aligned with company policies, data governance, and compliance requirements.
• Support team enablement, increasing internal capability to use AI effectively and consciously through shared standards and operating models.
• Monitor the evolution of AI technologies and critically assess their relevance and applicability to the business context.

Project Management and Governance:

• Manage complex automation and transformation projects, ensuring timely delivery, budget adherence, and alignment with business objectives.
• Coordinate cross‑functional teams (digital, operations, finance, IT, external partners).
• Define and enforce governance frameworks, including documentation standards, change management, and performance monitoring (KPIs, ROI).
• Collaborate with IT and control functions to ensure compliance, security, and data privacy across all initiatives.

Requirements

• Indicative experience: 5–10 years in roles related to business transformation, automation, data, or project management within structured organizations.
• Strong programming skills in at least one relevant language (e.g. Python, C#, Java), with a focus on scripting, automation, and data manipulation.
• Proven experience in process and data automation, system integration, and structured data workflows.
• Knowledge of databases and ETL concepts (SQL is a plus).
• Solid understanding of project delivery methodologies (Agile, Waterfall, or hybrid approaches).
• Knowledge of data governance principles and best practices.
• Excellent analytical and problem‑solving abilities.
• Strong written and verbal communication skills, with the ability to translate complex technical concepts for non‑technical stakeholders.
• Proven ability to collaborate, influence, and build strong relationships across all levels of the organization.
• Strategic thinker with a proactive, pragmatic, and innovation‑oriented mindset.
• Strong sense of ownership, organization, and attention to detail.
• Ability to operate effectively in complex, fast‑changing environments.
• Fluent in English (spoken and written)

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, andwe’rejust as committed to employee growth as we are toresponsiblemedia investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at thecutting edgeof marketing and advertising. We have a variety of employee resource groups and host frequent in‑office eventsshowcasingteam wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

WPP Media is an equal opportunity employer and considers applicants for all positions withoutdiscriminationor regard tocharacteristics. We are committed to fostering a culture of respect in which everyone feels belong and has the same opportunities to progress in their careers.

We believe the best work happens whenwe'retogether, fostering creativity, collaboration, and connection. That'swhywe’veadopted a hybrid approach.Ifyourequireaccommodationor flexibility, please discuss this with the hiring team during the interview process.

While we appreciate all applications received, only those candidates selected for an interview will be contacted.

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