About this role
The VP – Data Platform Managed Services & Operations provides hands-on operational leadership for enterprise data platforms, including ETL/ELT pipelines, orchestration frameworks (e.g., Directed acyclic graph-based workflow orchestration framework for data and batch processing), streaming platforms, and Snowflake workloads operating on cloud platforms (AWS, Azure, GCP). The role combines strong troubleshooting expertise with a transformation mindset, driving SLA adherence, platform stability, and continuous improvement. A key focus is on modernizing operations through automation and AIassisted monitoring, enabling proactive, scalable, and resilient data platform support while leading a small, globally aligned operations team. Key Responsibilities Operational Ownership Lead daily production operations for ETL/ELT pipelines, orchestration frameworks, streaming systems, and Snowflake workloads. Act as the first escalation point for L1/L2 incidents, ensuring timely triage, mitigation, and communication. Execute and oversee pipeline reruns, data validations, reconciliations, and operational checks in line with defined runbooks. Ensure consistent SLA adherence for data availability, freshness, and incident response. Monitoring & Observability Ensure effective use of monitoring, alerting, and observability tools to proactively identify operational risks. Apply strong troubleshooting and diagnostic skills to investigate alerts, data delays, pipeline failures, and quality issues, identifying root causes across orchestration, compute, storage, and dependencies. Monitor trends in data latency, and data quality, escalating systemic risks where required. Incident & Problem Management Coordinate incident response activities, including impact assessment, root cause investigation support, and postincident documentation. Work closely with engineering teams to handoff complex issues and validate fixes. Track recurring failures and data quality issues, contributing to RCA and corrective actions. Team Leadership Lead, coach, and support Analysts and Associates during shifts and handovers. Assign work, manage priorities, and ensure coverage across operational hours. Support onboarding of new team members and reinforce operational best practices. Operational Improvement Identify opportunities to reduce manual effort through scripting, automation, and process improvements. Maintain and improve runbooks, checklists, and operational documentation. Support onboarding of new pipelines and use cases by validating operational readiness. Clientfacing communication (incidents & onboarding) Act as a trusted operational contact for clients during onboarding, golives, and production incidents, clearly communicating platform readiness, SLAs, risks, incidents, and remediation plans, and translating complex data platform, Snowflake, and orchestration (Directed acyclic graph-based workflow orchestration framework for data and batch processing) topics into concise, clientready updates through transition to steady state. Required Skills & Qualifications Solid understanding of data platforms, including data lakes, data warehouses, streaming, and Snowflake. Handson experience supporting ETL/ELT pipelines and orchestration tools (e.g., Directed acyclic graph-based workflow orchestration framework for data and batch processing). Practical knowledge of monitoring, alerting, and observability concepts.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance (opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com (opens in new window). We also encourage you to get to know us on LinkedIn (opens in new window), Instagram (opens in new window), YouTube (opens in new window), X (opens in new window), and TikTok (opens in new window).
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
