Workday Services Data Lead

Mexico City, Mexico

WPP

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, clients and communities.

View company page

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities.

Working at WPP means being part of a global network of more than 115,000 accomplished people in 110 countries. WPP has headquarters in New York, London and Singapore and a corporate presence in major markets worldwide.

We create transformative ideas and outcomes for our clients through an integrated offer of communications, experience, commerce, and technology.

WPP and our award-winning agencies work with most of the world's biggest companies and organisations – from Ford, Unilever and P&G to Google, HSBC, and the UN. Our clients include 61 of the FTSE 100, 307 of the Fortune Global 500, all 30 of the Dow Jones 30 and 62 of the NASDAQ 100. WPP are the leader in the Bloomberg Gender Equality Index and 20th in the FTSE 100 rankings for Women on Boards.

Why we're hiring:

At WPP, technology is at the heart of everything we do, and it is WPP IT’s mission to enable everyone to collaborate, create and thrive. In this role you will be a member of the Workday Services Team supporting and maintaining our Workday Data, your role will grow as we further deploy and expand our Workday coverage both geographically and capability. Reporting to the Workday Technical Manager this role is accountable for ensuring that WPP’s Workday data is maintained, controlled, and loaded as required by our internal standards and business partners, plus as required work on mergers and acquisitions projects.

This flagship programme will see Workday deployed across our global landscape to address the technology needs of Finance, Projects, and our People function – so essentially it touches all of our employees to some degree. The key to this programme is that technology is an enabler for change, it’s at the heart of what we do, but it’s not all of what we do. The people aspects of this programme are vital to its success. This role will help deliver that success on an ongoing basis for many years to come.

What you'll be doing:

  • Responsible for the people and process management of global teams supporting Workday Data
  • Responsible for day to day running of data support, prioritizing data changes and assigning incidents
  • Review data changes and assign incidents across the team while troubleshooting and resolving the most complex support issues in a timely manner adhering to WPP Service Level Agreements
  • Run the Workday merger and acquisition process and co-ordinate with other teams to complete the process
  • Maintain expertise on data standards/functionality/features/capabilities in Workday, wider industry, and technology trends
  • Review each new Workday release for impact on data upload EIBs in use and the M & A process
  • Analyse incidents raised to identify common themes, identify areas of improvement and implement strategies for failure prevention
  • Responsible for maintaining up to date data and associated processes documentation

What you'll need:

  • Workday HCM or Financials/PSA data experience, knowledge of Financial processes
  • Experience of managing teams, ability to delegate effectively and communicate well
  • Experience of mergers and acquisitions from a data take on perspective
  • Exceptional data experience including SQL, databases, Excel, data manipulation and validation
  • Experience developing data conversion and validation rules in master data tools
  • Ability to understand business requirements and turn into clear deliverables
  • Manage small projects with multiple teams involved and track work against plan
  • Delivery and customer focused, with high energy and drive
  • Strong risk awareness skills and management of risk
  • Creative solutioning and strong problem-solving skills with agility for fast and simple solutions
  • Credibility, professionalism, and strong personal integrity
  • Advanced English fluency 

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are accepting: of new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: We are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

 

What we'll give you:

Passionate, inspired people – We promote a culture of people that do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

WPP is an equal opportunity employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability. We believe in creating a dynamic work environment that values diversity and inclusion and strives to recruit a diverse slate of candidates to help us achieve that goal.

Please read our Privacy Notice for more information on how we process the information you provide.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Excel Finance Privacy SQL

Perks/benefits: Career development

Region: North America
Country: Mexico
Job stats:  6  0  0
Category: Leadership Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.