Director - Data Implementations Transformation

BlackRock•Wilmington, DE

11h•$170,000 - $225,000•Hybrid

About The Position

Aladdin Data platforms and services are designed to deliver industry leading investment data and risk analytics content to the Aladdin community, including BlackRock as the largest client. The primary users include investors, risk managers, compliance officials, investment operations and technology teams for broader organization applications. We are proud to supply the data products and solutions to meet the evolving needs of portfolio management, risk and performance analysis, investment compliance, regulatory reporting, client reporting and beyond. Our Data Implementations team of data implementation specialists covers end-to-end Aladdin data flows from vendor and client input data sets to security, portfolio, benchmark, and financial analytics output data for new and expanding Aladdin clients. The team works directly with clients and Aladdin Client Transformation specialists to understand client dependencies, business objectives and custom use cases to ensure Aladdin’s data and analytics are effectively enhanced, deployed, and adopted across each function and organization. The team also leads the configuration of Aladdin Risk and Analytics environments, critical client file loaders and risk and performance benchmark configuration. Our clients cover global, multi-asset managers or owners allocating across fixed income, equity, private markets, and derivatives. The team provides the data specialities across asset classes and data domains for the successful whole-portfolio modelling. Successful Aladdin data implementation specialists develop and excel in many cross-functional skills including client communication, project management, business analysis as well as hands-on data analysis and technology system configuration. Innovation is at the core of Aladdin’s culture and the team is continuously solutioning for our clients and re-engineering our processes. At the forefront of evolving market and industry data needs, with each successful projects, we drive continuous developments and transformation initiatives to expand our solutions and advance our data products capabilities. This role is a hybrid hands-on implementation and AI transformation position. The team is looking for a senior leader within the team to help manage our growing volume of new clients, including leading several data implementation specialists in the performance of their responsibilities. The successful candidate will directly be responsible for multiple projects, across all data domains and capabilities. In parallel, they will be redesigning how implementations are executed using Agentic AI and LLM-enabled workflows. This role blends execution credibility, systems thinking, and measurable change delivery.

Requirements

A Bachelor’s Degree is, with preference to computer science or engineering majors.
8 + years of experience either as an investment / data technology implementation specialist or with direct relevant user, development, service, or operation experiences.
Familiarity with investment data and analytics is; Private markets or derivative specialities is a plus.
Demonstrated hands-on experience applying Agentic AI or LLM-based tools to automate or augment business processes, or equivalent formal training.
Track record of initiating projects that enhance business workflow and improve client experiences.
Strong track record of successfully handling and completing large and complex projects.
Critical thinking and demonstrable experience using technology to solve problems at scale.
Shown ability to work well independently or as part of a team in an innovative, ambitious, and fast-paced environment, run multiple tasks, adapt to change, and work well under tight time restraints.
Comfortable working with clients and partners at all levels of the business including leading senior Steercos.
Strong communication, collaboration, and stakeholder engagement skills.
Experience with Python and SQL preferred

Nice To Haves

Private markets or derivative specialities is a plus.

Responsibilities

Deliver end-to-end client implementation projects, including requirements analysis, data onboarding, configuration, validation, and reconciliation.
Operate existing tools, playbooks, and controls firsthand to understand delivery constraints and risks.
Build credibility with clients and delivery teams through direct ownership of outcomes.
Identify manual, repetitive, or high-friction activities across the implementation lifecycle.
Design, prototype, and apply Agentic AI and LLM-driven workflows to reduce effort, cycle time, and rework.
Focus on direct execution, solution building, and rapid adoption within active delivery teams.
Partner with transformation and engineering teams to industrialize successful AI patterns into the standard operating model.
Establish baseline delivery metrics and track improvements enabled by AI (e.g., cycle time, throughput, error reduction).
Drive measurable productivity outcomes with a target of achieving step-change (2×) efficiency while maintaining quality and control.
Enable adoption through documentation, demonstrations, coaching, and influence.