Data Product Manager

at  AfterPay

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 be a Product Technical Manager within the Global Data & Analytics team. The Data Product Technical Manager would lead and own the data product within the Global Data & Analytics team, from engineering/technology owner standpoint. This role is responsible for prioritizing the technical product backlog, balancing new features, functional requirements, non-functional requirements and requests across teams and coordinating deployments with other Product Owners in the Data & Analytics team. The Data Product Technical Manager requires the experience or proven aptitude to develop detailed domain knowledge of multiple products. The Data Product Technical Manager oversees the work of development squads as the lead technology business representative and decision-maker, working in tandem with the product team.
In this role, you will own responsibility for delivering data initiatives across our data product landscape, to globally improve and progress McDonalds to a world class data product organization. Partner with business customers and stakeholders to define and deliver the associated technical data product solutions using a mix of internal and external (vendor) resources and products and ensure successful integration with existing McDonald’s systems.

B. 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 on data quality initiatives.

QUALIFICATIONS

• BS in Computer Science or related field is REQUIRED.
• 5+ years of technically focused experience in related technologies and languages (Web Services, Java, XML, S3, NoSQL, Kafka, Spark, etc.)
• Familiar with Event, Workflow and Application driven Data Architecture. API and Microservices management
• Working knowledge of cloud-based data systems, including AWS and GCP
• Seasoned technical leader with hands-on development and deployment experience with insights into the newest technology and development trends.
• Experience partnering with stakeholders across an at-scale, complex, global matrix org structure
• Experience with DevOps and data reliability engineering
• Experience leading cross functional teams to align and deliver projects.
• A passion for innovation and superior problem-solving skills
• A passion for new technologies and the drive to find ways to implement better tools and processes
• Deep understanding of business, information, technical architecture (e.g. architecture principles design, deployment models), security
• Experience with creating and executing testing strategies for functional, integration and performance testing
• Experience developing solutions that provide high levels of resilience and scale.
• Experience in Agile product development
• Strong communication skills with ability to communicate complex technical concepts and align organization on decisions with stakeholders of all levels of expertise
• Active coach and mentor whose goal is to grow and maximize team members’ potential

1. Product knowledge and strategy for the future – Technical and business understand