About this role

BlackRock is seeking an Associate, Deployment Engineer to support the delivery and deployment of tech enabled solutions created by the Platform Enablement Engineering team within the Technology & Operations organization. The role is focused on helping move solutions from discovery through requirements, delivery, launch, and post-launch improvement, so that AI capabilities are embedded into real operational workflows.

This role is well suited to someone who is analytically strong, highly organized, and comfortable working across business and technology teams. The successful candidate will develop deep knowledge of the operational workflows they support, contribute to clear and executable requirements, and keep delivery moving by tracking dependencies, coordinating stakeholders, and escalating risks early. They will work under the direction of a Deployment Engineering Lead while owning defined workstreams end to end.

Deployment Engineering (DE) bridges business needs and technology delivery to accelerate AI-enabled business outcomes. The team partners with Aladdin Engineering, AI Labs, business subject matter experts, and transformation partners to bring production-grade solutions into live operational environments.

DE supports end-to-end business domains across the client and investment lifecycle, e.g. onboarding and post-trade lifecycles as well as strategic initiatives with both AI and non-AI components, such as Private Markets.

Discovery and Requirements

• Facilitate end-to-end business deep dives and workshops, including scheduling sessions with subject matter experts, capturing notes, and documenting current- and future-state process maps.
• Capture and organize key themes from discovery, including pain points, manual effort, and risk areas, and validate documentation with business stakeholders.
• Contribute to Business Requirements Documents (BRDs), future-state workflows, and data dictionary requirements under the direction of a Deployment Lead.
• Gather data on scope, volume, and time spent to support benefit and ROI estimates.

Delivery and Execution

• Own defined workstreams from requirements through testing, launch, and post-launch stabilization.
• Coordinate day-to-day with engineers, business SMEs, and transformation partners to keep deliverables, dependencies, and timelines on track.
• Support working sessions and functional steering committees, including agendas, notes, and follow-ups.
• Support user acceptance testing, AI acceptance criteria (AIAC), and production readiness activities.
• Track risks, issues, and open decisions, escalating promptly and transparently.

Deployment and Adoption

• Support rollout planning, business readiness assessments, and training and communication materials for new AI tools and workflows.
• Help establish support channels and post-launch feedback loops with business users.
• Monitor adoption and usage, gather user feedback, and translate it into prioritized enhancement recommendations.

Reporting, Documentation, and Continuous Improvement

• Maintain accurate, organized project and process documentation so knowledge is reusable across engagements.
• Contribute to team reporting, newsletters, delivery metrics, and status updates for business and technology leaders.
• Apply AI-enabled tools to streamline analysis, documentation, reporting, and knowledge management within the team's own ways of working.
• Contribute to deployment standards, playbooks, and reusable patterns that improve how the team delivers.

• Bachelor's degree required.
• Typically 3–5 years of relevant experience in business analysis, project management, technology delivery, consulting, or operations.
• Experience translating business or operational needs into structured requirements and executable deliverables.
• Demonstrated ability to analyze workflows, identify gaps and dependencies, and contribute to practical future-state solutions.
• Working knowledge of the software delivery lifecycle, including requirements, testing, release readiness, and post-launch support.
• Strong analytical and problem-solving skills, including the ability to organize ambiguous information and form clear recommendations.
• Strong written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
• Excellent organizational skills, attention to detail, and the ability to manage multiple priorities with consistent follow-through.
• Proficiency with delivery and collaboration tools such as Azure DevOps, Jira, Confluence, Airtable, SharePoint, or comparable platforms.

• Familiarity with AI or machine learning concepts, including agentic systems, intelligent workflows, or document processing.
• Experience supporting deployment or rollout of technology solutions into live business environments.
• Exposure to automation technologies, workflow tooling, or operational reporting (e.g., Power BI).
• Knowledge of investment operations, client onboarding, post-trade, or asset management workflows.

• Strong project execution discipline
• Ability to identify risks, gaps, dependencies, and open decisions early, and to escalate with clear options or recommended next steps.
• Excellent written and verbal communication skills, with the ability to translate complex business and technology concepts into clear, practical language for diverse stakeholders.
• Strong analytical mindset and attention to detail, including the ability to structure ambiguous information, validate assumptions, and synthesize findings into actionable recommendations.
• Collaborative working style with the ability to build trusted relationships across teams
• Curiosity and commitment to developing deep operational knowledge, including processes, data and controls.  
• Continuous improvement orientation to simplify processes, improve quality, and increase efficiency.

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  on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.