#R262317
The international team is split into 4 global regions to provide 247365 support.
This role is accountable for enterprise‑scale reliability, risk posture, and operational resilience through the adoption of AI‑enabled, autonomous infrastructure and service operations.
The leader transitions the organization from human‑driven, reactive operations to AI‑supervised, self‑healing systems, ensuring technology platforms scale safely, predictably, and in alignment with business growth and regulatory expectations.
The role owns strategy, outcomes, and governanceIf any of these excites you, we want to talk to you.
Team Overview
The Service Management Operations Group is responsible for monitoring, supporting, and administering production environments for all BlackRock businesses (including subsidiaries and BlackRock Solutions) acting as a first responder relative to troubleshooting, problem resolution, and escalation.
Collaborating with skilled professionals across the globe and managing a broad range of technologies and applications, the Operations Group delivers service quality and excellence through teamwork, innovating operational processes, and being part of the One BlackRock culture.
Key Responsibilities
1) Own reliability outcomes
Deliver measurable improvements in availability, latency, recovery time, and incident recurrence for critical workloads.
Establish and mature SRE practices: SLIs/SLOs, error budgets, and reliability governance.
2) Build AI‑enabled, signal‑driven operations
Replace alert volume with AI‑correlated signals that prioritize true business impact and early risk indicators.
Implement and improve detection, correlation, and routing workflows integrated into operational processes and tooling.
3) Engineer self‑healing systems (automation-first)
Design, implement, and govern automated remediation for known failure patterns (with safe guardrails and audit trails).
Maintain structured human oversight for novel scenarios and ensure continuous learning feeds back into automation.
4) Embed reliability and operability into engineering lifecycle
Partner with Engineering/Architecture/Product to build operability, observability, resilience-by-design into services.
Drive root-cause elimination and reduce recurrence through systemic fixes, not repetitive recovery.
5) Change-aware resilience + risk posture
Own change-aware operations: use AI risk signals to anticipate failures based on historical data, dependency graphs, and weak points.
Support production readiness: capacity planning, disaster recovery exercises, and disciplined change governance.
6) Evidence, auditability, and resilience expectations
Ensure AI-driven systems are observable, explainable, and auditable, meeting operational and regulatory expectations.
Develop and lead high performing global team, fostering strong ownership, technical depth, and a culture of accountability and continuous improvement.
Qualifications / Competencies
Bachelor's degree in computer science /engineering (or equivalent practical experience).
10+ years across Service Management, DevOps, SRE, Product Engineering, and/or large-scale production operations.
Strong hands-on experience with observability/monitoring/telemetry platforms, focused on actionable insights and reliability outcomes.
Proven experience transitioning environments from reactive support to proactive, signal-driven / AI-assisted operations**.**
Designed/tuned/governed automation and AIOps workflows**,** enabling automated remediation while retaining structured human oversight for exceptions.
Experience implementing change-aware operations, drift detection/correction, and data-driven reliability governance to reduce incident recurrence.
AI-assisted capacity forecasting and proactive scaling for performance predictability and cost efficiency.
End-to-end operational fluency: telemetry → ITSM integration → automated execution.
Experience sponsoring or governing AI-assisted/autonomous operational platforms.
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.
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.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: https://www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.