Data Operations Officer

The Opportunity

The Data Operations Officer is a critical role within the Data team, responsible for ensuring the smooth and efficient operation of our data pipelines and ensuring the integrity and quality of our data assets. This role requires a strong understanding of data management principles, a proactive approach to problem-solving, and the ability to collaborate effectively with stakeholders across the organisation. The Data Operations Officer plays a key role in ensuring that our data products are reliable, compliant, and valuable to the business. The right candidate will be able to work autonomously and will be responsible for managing complex data operations projects.

What will my accountabilities be?

Data Integrity and Quality:

Lead and oversee data quality control:Develop and implement robust data quality checks and validation processesMonitor data quality metrics and identify trends or anomaliesInvestigate and resolve data quality issues in a timely and efficient mannerCollaborate with data engineers and analysts to improve data quality at the sourceData profiling and analysis:Conduct in-depth analysis of data sources and identify potential issuesGenerate reports and visualisations to communicate data quality findings to stakeholdersData cleansing and transformation:Lead data cleansing and transformation efforts, ensuring data accuracy and consistencyDevelop and maintain data transformation scripts and pipelines

Governance & Support:

Data governance:Contribute to the implementation and maintenance of data governance policies and proceduresAct as a point of contact for data governance related questions and supportCollaborate with stakeholders to ensure adherence to data governance standardsData documentation and metadata management:Maintain comprehensive data documentation, including data dictionaries and lineageManage data metadata effectively to ensure data discoverability and accessibility.Data operations support:Provide technical support and guidance to data analysts and business users.Troubleshoot data-related issues and resolve them efficiently.Monitor data pipelines and systems for performance and availability.Investigate and own the resolution of data-related incidents, including data breaches, system outages, and data quality issues.Work alongside our service delivery team, to conduct root cause analysis to identify the underlying causes of incidents and implement preventative measures.

Project Management:

Project coordination:Effectively manage and deliver data-related projects, both independently and collaboratively as part of cross-functional teams.Work closely with cross-functional teams to ensure successful project outcomes.Stakeholder management:Build and maintain strong relationships with stakeholders across the organisation.Communicate data-related issues and solutions effectively to both technical and non-technical audiences.Continuous improvement:Proactively identify opportunities to improve data operations processes and efficiency.Stay abreast of the latest data management technologies and trends.

What Team will I be a part of?

The Data Operations Officer will report to the Data Enablement Consultant and operate as part of the wider Cyber Security and Data team within the Running Great Restaurant Technology team.

Who are my customers?

Customers of this role will include:

Data owners and business leads from broader business, technology and data teams such as:Business stakeholders: Business Strategy & Insights, Restaurant Solutions Group, People, Marketing & Digital, Finance, Supply ChainTechnology: Cyber Security, Service Operations, Asset & Configuration Management, Supplier Management, Deployment & Testing, Innovation & AdoptionChange Management: Portfolio Management OfficeGlobal:Colleagues in other McDonald’s markets and those working in global and segment functions such as Enterprise Data Governance, Data Products, Back Office & Data Enablement, Reporting Hub, Data Platform & Architecture and GDW RunOps Our partners and suppliers
 

Qualifications:

What background do I need to have?

Essential requirements

3+ years of demonstrated experience in data-related fields such as Data Governance, Analytics, Business Intelligence (BI), Data Engineering, Data Operations, and Data Product teams Strong organisational skills with the ability to work independently under pressure, prioritise tasks, and deliver data requests within agreed timescales Proven ability to independently identify and address data-related challenges or implement process improvements A bachelor's degree in a data-related field such as Data Science, Computer Science, Information Technology, or a related discipline is preferred. However, equivalent certifications or relevant qualifications in Data & Information Technology will also be considered Strong analytical and problem-solving skills, with meticulous attention to detail Dedicated to understanding business needs and achieving results that positively impact business performance Experience with data quality assessment, improvement techniques, and root cause analysis of data quality issues An understanding of data security concepts and best practices Knowledge of various data technologies and platforms

Data Governance & Quality

Experience with data governance frameworks and tools Experience with project management methodologies and tools (e.g., Jira, Waterfall & Agile) Proven ability to independently manage tasks, meet deadlines, and deliver results with minimal supervision

Communication & Collaboration

Excellent stakeholder management and communication skills with the ability to produce reports, documentation, and communicate with audiences at all levels. Ability to effectively communicate complex technical issues to non-technical colleagues. Experience working with cross-functional teams to achieve shared goals Experience writing and implementing business requirements, process maps, and user stories Competent using Microsoft Office Suite

Some experience is desirable

Using SQL In or awareness of platforms such as MicroStrategy, Tableau, Talend (ETL), Data Movement, Data Warehousing, Cloud technologies (AWS, Azure, GCP), and Data Governance and Quality tools In Agile methodologies In the Restaurant, Retail and Hospitality sector Working in large-scale data transformation initiatives Familiarity with AI technologies

Knowledge of but not essential

Familiarity with programming languages such as Python Service Now Miro Smartsheet Jira & Confluence Collibra & LightUp

Additional Information:

Company Vision and Culture

Our Global vision is to build a better McDonald’s and in the UK and Ireland we are working hard to be the UK & Irelands best-loved restaurant company.

McDonald’s is defined by its culture. Our culture shapes and informs everything we think and everything we do. Our culture influences the way we interact with each other, and how we interact with customers, franchisees and suppliers. Our culture motivates and inspires us to attract and retain great talent, creating positive, energising, exceptional working environment for us all.

Our values drive our culture and shape our beliefs, our priorities and our actions. They influence the decisions we make, how we treat one another and how we show up as a brand to the world.

Serve:We put our customers and our people first
Inclusion:We open our doors to everyone
Integrity:We do the right thing
Community:We are good neighbours
Family:We get better together

At McDonald’s we are People from all Walks of Life... 

People are at the heart of everything we do, and they make the McDonald’s experience.We embrace diversityand arecommitted to creating an inclusive culturethat means people can be their best authentic self in our restaurants and offices, which helps us to better serve our customers. We have a strong heritage of diversity and representation within our communities, which we are proud of. The diversity of our people, customers, Franchisees and suppliers gives us strength.

Wedo not tolerate inequality, injustice or discrimination of any kind.These are hugely important issues and a brand with our reach and relevance means we have a very meaningful role to play.

We also recognise our responsibility as a large employer to continue being active in our communities, helping to develop skills and drive aspirationsthat will help people to be more aware of the world of work and more successful within it, whether with McDonald’s or elsewhere."

#LI-Hybrid