Manager - Data Development at McDonalds Corporation
Chicago, IL 60607, USA -
Full Time


Start Date

Immediate

Expiry Date

19 May, 25

Salary

129800.0

Posted On

19 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Sprint Planning, Languages, Retrospectives, Computer Science, Communication Skills, Jira, Aws, Confluence, Data Systems

Industry

Information Technology/IT

Description

Company Description
McDonald’s growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.
McDonald’s Global Technology is here to power tomorrow’s feel-good moments.That’s why you’ll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we’re digitizing the Golden Arches. Combine that with our unparalleled global scale, and we’re reshaping all areas of the business, industry and every community that is home to a McDonald’s restaurant. We face complex tech challenges every day. But that’s where our diverse and talented teams come in. They’re made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.
Check out the McDonald’s Global Technology Technical Blog to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.
Job Description
We are seeking a highly motivated individual to join our Global Data & Analytics team as a Data Development Manager. The successful candidate will be responsible for leading and managing our data product, including prioritizing the technical product backlog. This involves balancing new features, functional requirements, non-functional requirements, and cross-team requests, as well as coordinating deployments with Product Managers within the Data & Analytics team. The Data Development Manager must possess experience or demonstrate an aptitude for developing extensive domain knowledge across multiple products. The Data Development Manager will oversee the activities of their development squad as the primary technology business representative and decision-maker, collaborating closely with the overall product team.
In this role, you will lead data initiatives to enhance McDonald’s data product organization globally. In addition, you will work with business customers and stakeholders to define and deliver technical data product solutions using a mix of internal and external resources, ensuring successful integration with existing McDonald’s systems.

MASTERY OF THE TECHNOLOGY INVOLVED IN YOUR PRODUCT

  • Be able to engage in discussions regarding whether your product is using the right solutions, and always looking forward to continuously evolve and improve
  • Be able to understand the issues involved in major decisions and provide feedback on architecture, even in areas you are not an expert in
  • Collaborate with Data & Solution Architects to launch scalable and reliable data solutions, support system integration efforts, and create operational efficiencies through automation and process improvements
  • Manage technical interdependencies and interfaces of their product with other systems and products
  • Establish best practices for identifying, analyzing and managing technical risks.
  • Responsible for testing strategy and the quality of the outputs of the internal/external development teams
  • Provide people leadership for data engineers, professional development and engineering resources allocated to the product
  • Define critical non-functional requirements that sustain throughout the data product lifecycle
  • Participate in release preparation and planning
  • Manage temporary solutions and technical debt at the squad level
  • Serve as subject matter expert across all McDonald’s data systems.
  • Participate in data quality initiatives.
Responsibilities
  1. Product knowledge and strategy for the future – Technical and business understand
Loading...