Job Description
Position Summary:
Data Accessibility Lead: (Sr Manager, Data Operations & Management)
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 BigQuery, Redshift, and other core data infrastructure.
Primary Responsibilities:
Strategic Data Accessibility Leadership:
- 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.
AI / ML Enablement:
- Oversee the availability, quality, and governance of data used for AI / ML model development and lifecycle management.
- Partner with MLOps, engineering, and product teams to embed data accessibility standards in model workflows.
Cloud Platform Integration:
- Oversee data accessibility initiatives in GCP and AWS, including integration with
- Big Query, Redshift, and cloud-native storage.
Data Governance & Quality Oversight
- 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).
Cross-Functional Collaboration & Leadership:
Qualifications
- 8+ years of experience in data operations, data governance, or data quality management, with at least 3 years in a strategic leadership capacity.
Strong hands-on and strategic experience with:
- 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.
Preferred Experience:
- Experience in Retail or Quick Service Restaurant (QSR) environments with operational and real-time analytics needs.
- Familiarity with data mesh concepts, data product ownership, and domain-based accessibility strategies.
- Experience navigating privacy, residency, or regulatory compliance in global data environments.
- Current GCP Associates (or Professional) Certification.