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 problemsolving 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 processes
  • Monitor data quality metrics and identify trends or anomalies
  • Investigate and resolve data quality issues in a timely and efficient manner
  • Collaborate with data engineers and analysts to improve data quality at the source

• Data profiling and analysis:
  • Conduct indepth analysis of data sources and identify potential issues
  • Generate reports and visualisations to communicate data quality findings to stakeholders

• Data cleansing and transformation:
  • Lead data cleansing and transformation efforts ensuring data accuracy and consistency
  • Develop and maintain data transformation scripts and pipelines

Governance & Support:

• Data governance:
  • Contribute to the implementation and maintenance of data governance policies and procedures
  • Act as a point of contact for data governance related questions and support
  • Collaborate with stakeholders to ensure adherence to data governance standards
• Data documentation and metadata management:
  • Maintain comprehensive data documentation including data dictionaries and lineage
  • Manage data metadata effectively to ensure data discoverability and accessibility.
• Data operations support:
  • Provide technical support and guidance to data analysts and business users.
  • Troubleshoot datarelated issues and resolve them efficiently.
  • Monitor data pipelines and systems for performance and availability.
  • Investigate and own the resolution of datarelated 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 datarelated projects both independently and collaboratively as part of crossfunctional teams.
  • Work closely with crossfunctional teams to ensure successful project outcomes.
• Stakeholder management:
  • Build and maintain strong relationships with stakeholders across the organisation.
  • Communicate datarelated issues and solutions effectively to both technical and nontechnical 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 Chain
    • Technology: Cyber Security Service Operations Asset & Configuration Management Supplier Management Deployment & Testing Innovation & Adoption
    • Change Management: Portfolio Management Office
    • Global: Colleagues in other McDonalds 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 datarelated 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 datarelated challenges or implement process improvements
• A bachelors degree in a datarelated 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 problemsolving 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 nontechnical colleagues.
• Experience working with crossfunctional 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 largescale 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 McDonalds and in the UK and Ireland we are working hard to be the UK & Irelands bestloved restaurant company.

McDonalds 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 McDonalds we are People from all Walks of Life... 

People are at the heart of everything we do and they make the McDonalds experience. We embrace diversity and are committed to creating an inclusive culture that 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.

We do 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 aspirations that will help people to be more aware of the world of work and more successful within it whether with McDonalds or elsewhere.

#LIHybrid

Remote Work :

No

Employment Type :

Fulltime