Supervisor, Data Operations & Management - Data Quality Engineering Support [T500-18809]

McDonald's

Hyderabad

On-site

INR 1,500,000 - 2,400,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

McDonald's is looking for a Data Quality Supervisor in Hyderabad to lead the strategy for data quality management. This role involves overseeing quality frameworks, tooling, and cross-functional processes ensuring data integrity across various cloud platforms. The ideal candidate will have substantial experience in data governance, collaborative skills, and a strong background in data quality tools and methodologies.

Qualifications

4-7 years of experience in data quality and governance, with 3+ years in a leadership role.
Familiarity with GCP and AWS environments.
Experience in scripting for data validation and automation.

Responsibilities

Define and lead implementation of data quality frameworks and operating models.
Establish KPIs for monitoring data quality across various domains.
Oversee automation and observability for data quality controls.

Skills

Data Quality Management

Data Governance

Cloud-native Technologies

SQL

Python

Analytical Skills

Education

Bachelor's or Master’s in Computer Science

Tools

Collibra

Dataplex

Job description

Supervisor, Data Operations & Management - Data Quality Engineering Support [T500-18809]

Get AI-powered advice on this job and more exclusive features.

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:

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.

Who we are looking for:

Primary Responsibilities:

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.
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.

Tooling & Automation:

Lead the evaluation, implementation, and expansion of data quality tools (e.g., Dataplex, Lightup, Collibra, or custom frameworks).
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., GDPR, CCPA, HIPAA).
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.

Skill:

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.
Current GCP Associates (or Professional) Certification.

Work pattern: Full time role.

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.

Seniority level