Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo.

We’re looking for a talented Privacy Risk & Assurance Analyst who expects more from their career. It’s a chance to work with our clients to implement our data platforms and software products. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.

In this role, you support the data risk model by assuring, maintaining, and improving the quality of privacy and data‑risk information across our securiti* tooling and processes. You perform second‑line assurance, manage issues and risks through their lifecycle, and resolve privacy‑relevant DSPM issues to strengthen controls, reduce exposure, and improve our compliance posture. Your focus is assurance, risk management, data quality, and precision in applying privacy requirements.

Qualifications:

• 2+ years of experience in privacy, data protection, risk, compliance, information security, or data governance.
• Practical exposure to structured reviews or checks of operational inputs, for example: Reviewing request forms, assessments, or registers for completeness and accuracy.
• Validating evidence against stated requirements or controls.
• Experience working with systems or tools that hold risk, privacy, or compliance data, with an understanding that:
• Ability to follow defined assurance steps or test scripts, document findings clearly, and escalate issues where evidence is missing or weak.
• Some exposure to issue or action tracking, such as logging findings, updating status, or following up with owners under guidance.
• Strong attention to detail and a demonstrable habit of checking, questioning, and correcting inaccuracies.
• Clear written communication skills, suitable for maintaining logs, notes, and audit‑ready records.
• Willingness and ability to learn complex tooling and processes, and to apply feedback consistently

 Key Responsibilities:

• Conduct assurance reviews of privacy and security requests (CRAs, VRAs, controller requests), validating routing, inputs, controls, and risk mitigation.
• Identify control gaps and failing controls, support remediation, and maintain assurance evidence and documentation.
• Support end‑to‑end request flows, data hygiene, and accurate ROPA and backend records within the Securiti platform, including legacy remediation.
• Track and manage issues arising from assurance, RACM testing, incidents, DSPM findings, and horizon scanning through to closure.
• Identify recurring risk themes and contribute to playbooks, control updates, and process improvements.
• Review DSPM outputs to validate sensitive data locations, classifications, and data flows, ensuring alignment with ROPA and Securiti records.
• Support remediation of privacy‑relevant data exposure risks in collaboration with product, data, and information security teams.

About the opportunity

Senior Account Receivable & Collections Analyst who plays a pivotal, strategic lead role in the financial operations of the company by managing and optimizing the accounts receivable process with a high-energy, "front-desk" approach. This role manages a continuous flow of customer queries, DIY billing emails, and complex collection challenges on a global portfolio while acting as a functional lead on AR systems (such as NetSuite, SAP, or Salesforce) to drive process enhancements and data integrity. To provide sharp, timely internal reports and analysis on debtor balances, cash collections, and bad debts while maintaining professional and energetic contact with customers.

A day in the life

• Arrive with a live view of global portfolio aging to identify exactly where pressure points are before the first call of the day.
• Contact customers (agencies, Enterprise, and brand clients) by telephone and email to move collections forward on high-risk accounts.
• Maintain positive relationships with our customers by providing excellent, responsive service.
• Maintain meticulous notes on follow-up and contact within ERP and CRM systems so nothing falls through overnight.
• Handle a non-stop flow of cases, DIY billing queries, and financial requests via a shared inbox and Salesforce with high operational resilience.
• Send monthly statements to customers and resolve discrepancies immediately upon receipt.
• Reduce DSO (Days Sales Outstanding), improve CEI (Collection Effectiveness Index), and minimize bad debt expense of the assigned global portfolio.
• Identify systemic billing or operational issues impacting cash flow and proactively lead cross-functional resolution efforts.
• Act as a key contributor in cash forecasting by providing accurate short- and long-term collection projections based on portfolio trends.
• Communicate real-time account status, risks, and next actions proactively to Sales and Account Managers.
• Oversee daily cash applications in ERP systems and lead investigations into complex unallocated/unapplied cash receipts.
• Issue reminder and legal notices to customers based on the Credit Control policy.
• Collaborate with Internal Sales, AMs, Finance, Legal, and billing teams with an "on-your-toes" urgency to resolve discrepancies and unblock revenue.
• Monitor and report on potential bad debts and portfolio health with a sharp, numerical eye.
• Strengthen internal controls and compliance around AR processes, ensuring audit readiness and policy adherence.
• Determine when accounts should be sent to outside collection agencies when all internal strategic efforts have been exhausted.
• Generate sophisticated monthly and ad-hoc reporting metrics on the performance of the portfolio.
• Lead the setting of credit limits for new and existing customers.
• Manage credit card workflows end-to-end, including charges, refunds, and formally challenging invalid chargebacks with supporting evidence.
• Actively leverage Enterprise AI platforms (Gemini, ChatGPT, Claude, etc.) to drive process optimization, build automations, and streamline collection workflows.

What you’ll bring

• Minimum 10–12 years’ experience in an Accounts Receivable / Collections role.
• Ability to adjust priorities instantly under pressure to meet non-stop deadlines.
• High stamina and flexibility within a constantly changing, high-volume environment.
• Elite interpersonal and diplomatic negotiation skills.
• Excellent verbal and written communication skills suitable for senior stakeholders.
• Ability to cooperate and lead collaboration effectively with team members.
• Proven track record of reducing DSO and improving cash collections.
• Sharp, proactive attitude – the ability to take immediate initiative to get things done.
• Expert Microsoft Excel (Power Query/Pivot) and IT skills with an exceptional eye for numbers.
• Highly motivated with a continuous eye for process improvement and automation.
• Deep expertise in managing global portfolios across multiple currencies and international markets.
• Deep expertise in Tier-1 ERP and CRM ecosystems (e.g., SAP, NetSuite, Salesforce) with the ability to drive system-related projects.
• AI-savvy and curious about technology; comfort using Enterprise AI tools to automate repetitive tasks.
• Experience of working with advertising/marketing agencies is highly preferred

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and 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’s what 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 Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

This role will serve as core member of a data engineering team assigned to one of WPP’s major global clients, who will be maintaining and expanding upon a global data warehouse, automated reports, and data provisioning applications to ensure that media and marketing stakeholders the world will have access to the right data and insights to inform their marketing decisions.  

WPP has developed the Measure platform, a stack of standardized technologies (Adverity for collection, DBT for modelling, Google Cloud Platform for orchestration, computing, and storage, and Microsoft PowerBI for visualization) and templates to speed the deployment and simplify support for automated reporting and analytics tools.

The team’s primary responsibility is to build and maintain a global Measure-based reporting solution, leveraging existing templates where applicable and building custom collectors, data models, cloud architectures, and/or visualizations when required. The team will automate the collection and transformation of disparate marketing data into a single source of truth, continually improving it to incorporate new data sources, and to derive new insights, to support ever-evolving business demands.

As an Senior Data Engineer, your primary responsibilities will include deploying and troubleshooting standardized Adverity data collection templates,  QAing landed versus source data using self-developed scripts and manual processes, gathering platform and ad account parameters from upstream stakeholders, working within and contributing to the team building the data warehousing solution,  adhering to technical standards and best practices, and contributing to the documentation of custom work.

In doing so you will exhibit a foundational understanding of cloud technology and key data engineering skills and knowledge to help your team in this fast-evolving and in-demand industry.

Some of the things we’d like you to do:

• Deploy data collectors in Adverity to gather data from media, agency system, and other sources

• Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they impact the quality of the reporting solution

• Support the translation of user requirements and business needs into technical specifications
• Be a proficient user of Google Cloud Platform and associated technologies, ensuring your work incorporates industry best practice
• Monitor automated jobs, troubleshooting data issues as-and-when they arise
• Support other members of the team responsible for “last mile” transformation and visualization of data within Google Data Studio reports and dashboards
• Serve as a technical and professional leader for junior staff
• Provide hands-on support to users of reporting solutions, helping the wider team triage and respond to user queries in a timely manner
• Attending internal stakeholder meetings, presenting your solutions, and providing updates on your work.
• Support the development strong working relationships with third-party data providers that we rely on for access to necessary data.

A bit about yourself:

Key Responsibilities:

• Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability.
• Implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing.
• Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency.
• Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime.
• Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team.
• Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets.
• Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise.

Senior-Level Expectations:

• Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies.
• Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation.
• Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes.

Required Skills

• 3-4 years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP).
• Proven expertise in designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation.
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.

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