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About McDonald’s:

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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.

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Job Description:

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We are excited to announce an opening for Sr. Manager, Data Operations & Management at MCC India. Please find below the details of the role and its responsibilities.

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Skills Required:

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- GCP, AWS, ETL, ELT, SQl, Collibra, Alation, Big Query, Big Query, RedShift, Red Shift

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Experience Range:

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- 11 - 17 years

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Position Summary:

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Data Accessibility Lead: (Sr Manager, Data Operations & Management)

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As the Data Accessibility Lead, you will drive the enterprise-wide strategy for enabling secure, governed, and scalable access to data for AI / ML, analytics, and business operations. You will lead cross-functional teams responsible for managing data lifecycle, enforcing data quality standards, and implementing modern governance tooling such as Collibra. This role is pivotal to operationalizing data accessibility across cloud platforms like GCP and AWS, including Big Query, Redshift, and other core data infrastructure.

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Who we are looking for:

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Primary Responsibilities:

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Strategic Data Accessibility Leadership:

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- Set the strategic direction for enterprise data accessibility, ensuring consistent and secure access across teams and platforms.
- Lead the implementation and adoption of data governance tools (e.g., Collibra) to manage metadata, lineage, and data policies.
- Champion enterprise adoption of semantic and technical metadata practices for improved discoverability and data use.

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AI / ML Enablement:

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- Oversee the availability, quality, and governance of data used for AI / ML model development and lifecycle management.
- Ensure that model training, validation, and deployment pipelines have reliable and timely access to governed datasets.
- Partner with MLOps, engineering, and product teams to embed data accessibility standards in model workflows.

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Cloud Platform Integration:

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- Oversee data accessibility initiatives in GCP and AWS, including integration with
- Big Query, Redshift, and cloud-native storage.
- Develop strategies for managing access controls, encryption, and auditability of data assets across cloud environments.

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Data Governance & Quality Oversight

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- Define and enforce enterprise data quality standards, including data profiling validation, and exception handling workflows.




- Ensure compliance with internal data policies and external regulations (e.g., GDPR, HIPAA, CCPA).
- Lead enterprise initiatives around data lifecycle management, from ingestion and processing to archival and retention.

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Cross-Functional Collaboration & Leadership:

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- Lead and mentor a team of data operations professionals and collaborate with data engineering, governance, AI/ML, and compliance teams.
- Provide executive-level insights and recommendations for improving enterprise data accessibility, quality, and governance practices.
- Drive alignment between business units, technical teams, and compliance functions through effective data stewardship.

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Skill:

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- 8+ years of experience in data operations, data governance, or data quality management, with at least 3 years in a strategic leadership capacity.

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Solid hands-on and strategic experience with:

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- Collibra or similar data governance platforms
- Cloud platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS)
- Enterprise data warehouses such as Big Query, Redshift, or Snowflake
- AI/ML model lifecycle support and MLOps integration
- Data quality frameworks, metadata management, and data access policy enforcement
- SQL
- Strong analytical and problem-solving skills; ability to work across highly matrixed, global organizations.
- Exceptional communication, leadership, and stakeholder management skills.
- Bachelor’s or master’s degree in data science, Information Systems, or a related field.

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Preferred Experience:

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- Experience

Apply on Kit Job: kitjob.in/job/47ztra

📌 Sr Manager, Data Operations & Management-25050] (Gulbarga)
🏢 McDonald's Global Office in India
📍 Gulbarga