Manager, Data Operations

Key Responsibilities

• Data Platform Operations & Reliability:
  Own the day-to-day operational health of enterprise data platforms (e.g., Snowflake, orchestration tools, CI/CD pipelines, BI platforms). Enforce change management and release controls for production data systems. Ensure high availability, performance, and reliability of data pipelines and analytical workloads. Establish and track SLAs, SLOs, and operational KPIs for data services.
• Data Operations & CI/CD Leadership:
  Lead the implementation and continuous improvement of Data Operations and CI/CD practices for data pipelines, transformations, and platform changes. Enforce change management and release controls for production data systems. Standardize deployment, rollback, and release management processes for data assets. Ensure automation-first approaches across testing, deployment, and monitoring.
• Monitoring, Incident & Problem Management:
  Implement proactive monitoring, alerting, and observability for data pipelines and platforms. Lead incident response, root-cause analysis, and post-incident reviews for data-related outages or quality issues. Drive continuous improvement to reduce operational risk and manual intervention.
• Team Leadership & Capability Building:
  Lead, coach, and develop a team of Data Operations engineers and developers. Set clear priorities, performance expectations, and development plans. Foster a culture of operational excellence, accountability, and continuous learning.
• Data Quality, Testing & Controls:
  Enforce change management and release controls for production data systems. Partner with Data Engineering and Analytics teams to embed data quality checks, validation, and automated testing into pipelines. Ensure operational controls align with data governance, security, and compliance requirements. Support audit, risk, and regulatory inquiries related to data operations.
• Architecture & Platform Optimization:
  Collaborate with data engineering and architecture team to design scalable, cost-efficient, and resilient data platform architectures. Coordinate data refreshes and environment management for non-production environments (e.g., TST/UAT). Drive performance tuning, cost optimization, and capacity planning for Snowflake and related platforms. Evaluate and onboard new tooling to enhance Data Operations maturity.
• Documentation & Operational Standards:
  Establish and maintain operational runbooks, standards, and documentation for platforms, pipelines, and processes. Ensure transparency and knowledge sharing across teams.
• Stakeholder
  
  Collaboration:
  
  Partner with Data Engineering, Analytics, Governance, Security, and Technology teams to align on priorities and delivery. Act as the primary operational point of contact for data platform reliability and service health.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
• 7+ years of experience in data engineering, Data Operations, or platform operations, with at least 2+ years in a leadership or management role.
• Strong hands‑on experience with Snowflake as an enterprise data platform, including performance optimization and cost management.
• Proven experience implementing CI/CD pipelines and operational best practices for data workflows.
• Experience with orchestration tools (e.g., AWS Managed Service for Apache Airflow or similar).
• Proficiency in SQL and Python, with the ability to guide technical design and review solutions.
• Strong understanding of cloud platforms (AWS, Azure, or GCP) and cloud-native data operations.
• Experience with monitoring, alerting, and observability tools for data platforms.
• Solid understanding of data security, privacy, and regulatory requirements.
• Excellent leadership, communication, and stakeholder management skills.

• Experience in asset management, wealth management, or financial services environments.
• Experience operating data platforms at enterprise scale with multiple downstream consumers.
• Familiarity with modern data tooling (e.g., Snowflake, DBT, Openflow, AWS Services, Airflow).
• Experience partnering with Data Governance and risk teams.
• Snowflake or cloud…