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About McDonald's:
One of the world's largest employers with locations in more than 100 countries, McDonald's Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
Position Summary:
Manager, Product Management (Data Product Finance Support)
As a Manager, Product Management (Data Product Finance Support), you will play a pivotal role in helping product teams make informed, value-driven decisions. You will bring financial rigor and commercial insight to the development and scaling of our data products — tracking costs, identifying value delivered, and supporting prioritization through a product lens.
You will work closely with product managers, analysts, and cross-functional stakeholders to provide timely, relevant financial inputs. This includes both traditional FP&A activities such as budgeting and spend tracking, and strategic support such as building value cases and supporting trade-off decisions. The role sits within the global EDAA team and focuses on supporting internal teams rather than engaging directly with market finance functions.
Who we're looking for:
Primary Responsibilities:
Qualifications:
Work location: Hyderabad, India
Work pattern: Full time role.
Work mode: Hybrid.
Additional Information:
McDonald's is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
McDonald's Capability Center India Private Limited (McDonald's in India) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald's in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald's in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Job ID: 148978557
Skills:
Power Bi, Tableau, Jira, User Research, Confluence, Agile, Scrum, Azure DevOps, Roadmap priorities, Stakeholder Engagement, product vision, Competitive Analysis, Kanban
Skills:
Team Management & Coordination, Reporting & Analytics, Jira System Management, Process Improvement, People Support Jira system
Skills:
.NET, React, Agile Methodologies, SQL Server, Azure Cloud Services, Scrum, Jira, Azure DevOps, Angular, Code Review Processes, Kanban
Skills:
Atlassian Jira, Atlassian Confluence, Datadog, xMatters, IT monitoring systems, SSL certificate management, Security vulnerability management, Atlassian Statuspage
Skills:
Kafka, Nosql, Azure DevOps, Jira, Graph, Git, Dataproc, Data Warehousing, Advanced Sql, event message-based integration techniques, Big Query, Cloud Spanner, tracking tools, database storage concepts, DMPs, Pub Sub, DSPs, Martech, CDPs, Google Pub Sub, Data Lakes, GKE, Relational, CRMs, ADTECH, GCP technologies
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