Supervisor, Data Operations

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.

Data Quality - Supervisor

As the Data Quality Lead, you will define and drive the enterprise-wide strategy for data quality management—ensuring that data is accurate, consistent, and trustworthy across the analytics and AI/ML ecosystem. This role combines strategic leadership with technical execution, overseeing quality frameworks, tooling, and cross-functional processes that ensure data integrity across cloud-native platforms such as GCP, AWS, BigQuery, and Redshift. You will collaborate closely with data governance, engineering, and business teams to embed data quality into the core of operational and analytical systems.

Data Quality Strategy & Leadership:

Define and lead the implementation of enterprise data quality frameworks, standards, and operating models.

Establish and track data quality KPIs, thresholds, and remediation SLAs across domains and business functions.

Champion a data quality mindset across the organization by partnering with data owners, stewards, and executives.

Cloud Platform & Data Ecosystem Integration:

Design and oversee quality frameworks across GCP (BigQuery, GCS), AWS (Redshift, S3), and hybrid environments.

Integrate data quality validation and monitoring into data ingestion, transformation, and AI / ML pipelines.

Oversee automation and observability for data quality using tools like Airflow, Cloud Composer, and CI/CD pipelines.

Lead the evaluation, implementation, and expansion of data quality tools (e.g., Integrate data quality metrics and rules with Collibra or similar governance platforms for lineage, stewardship, and policy enforcement.

Ensure quality rules are version-controlled, modular, and adaptable for new data domains.

Operations & Incident Management:

Oversee enterprise processes for data anomaly detection, triage, root cause analysis, and resolution.

Coordinate quality audits, incident reviews, and continuous improvement programs with data engineering and analytics teams.

Ensure compliance with internal standards and external regulations (e.g., Lead a team of data quality engineers and analysts to implement and scale quality controls.

Collaborate with data governance, data engineering, AI/ML, and domain owners to embed quality into product and platform development.

Present strategic insights, trends, and risks to senior leadership and data councils.

4-7 years of experience in data quality, data governance, or data operations, with at least 3 years in a leadership role.

Proven experience with:

Data quality tooling and validation frameworks

Cloud-native environments: GCP (BigQuery, GCS) and AWS (Redshift, S3)

Scripting in SQL and Python for custom checks, validation jobs, and automation

Data quality integration with governance platforms such as Collibra

Strong analytical and problem-solving skills, particularly in diagnosing and preventing data integrity issues.

Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.

Preferred Experience:

Experience in Retail or Quick Service Restaurant (QSR) environments where trusted data is critical for real-time decisions.

Familiarity with AI/ML pipelines and how upstream data quality affects model performance.

Understanding of data mesh, domain-based ownership, and federated data quality models.

Full time role.

Work mode: Hybrid.

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,

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