Engineering Manager, GenAI

The Engineering Manager / Associate Director leads a small team of software engineers responsible for designing and delivering the data pipelines, retrieval systems, and knowledge integrations that power a generative AI platform. This role combines technical leadership with people management — setting architectural direction, removing blockers, and ensuring the team delivers high-quality, scalable solutions. The Engineering Manager / Associate Director balances hands-on technical involvement with strategic planning, stakeholder communication, and team development.

Essential Job Functions:

Directly manage team(s) focused on delivering high quality project results within one or more major technology disciplines: strategy, software development, operations, engineering, development services, information security, and compliance.

Focus on team leadership, delivery of business value, risk mitigation, cost optimization and return on investment.

Deliver results based upon FINRA annual goals, department goals and management requests.

Direct and coordinate organization's financial and budget activities to fund operations, maximize investments, and increase efficiency for a project(s).Ensure technology best practices are being implemented and improved within team(s).Analyze information and evaluate results to choose the best solutions and solve problems.

Support the evaluation of new technologies, techniques, and tools.

Report status and issues to senior Technology management team.

Work directly with outside vendors to negotiate services and product agreements

Willingness to lead, take responsibility and offer options.

Serve as a backup to more senior level management as needed.

Develop constructive and cooperative working relationships with peers both within and outside of Technology, and maintain them over time.

Establish and maintain external relationships with strategic product/service vendors and industry forums (government & private councils, standards bodies, product forums, etc.), as appropriate.

Contribute to the establishment, evolution and continued compliance with standard practices and processes within the disciplines.

Assist with adherence to technology policies and comply with all security controls.

Ensure all work products meets/exceeds FINRA standards and risks are effectively managed.

Participate in periodic Disaster Recovery (DR), Business Continuity Planning (BCP) and Sarbanes Oxley (SOX) testing and reporting.

Resource Management:

Identify and hire resource/skills needed within their organization.

Responsible for staff performance management and training.

Coordinate assignment of subordinate staff.

Demonstration of FINRA’s values.

Collaboration, both in-person and virtually, in furtherance of FINRA’s mission of investor protection and market integrity.

Key Responsibilities:

Technical Leadership & Architecture Set the technical vision and architectural direction for knowledge framework integrations, including data ingestion, embedding pipelines, and retrieval systems

Make key design decisions on pipeline architecture, data modeling, and search strategies, balancing quality, performance, and delivery timelines

Evaluate and recommend technologies, frameworks, and approaches for knowledge integration challenges

Maintain sufficient hands-on involvement to provide credible technical guidance and unblock the team on complex problems

Demonstrate solid understanding of systems and processes within the domain and recommend improvements

Team Leadership & People Management Manage, mentor, and develop a small team of software engineers, fostering a culture of ownership, collaboration, and continuous improvement

Conduct regular one-on-ones, provide constructive feedback, and support career growth for direct reports

Plan and prioritize team workload, balancing feature delivery, technical debt, and operational responsibilities

Recruit, onboard, and ramp new team members as the team scales

Champion collaborative resolution of defects and lead internal process improvement initiatives

Engineering Excellence & Quality Establish and enforce engineering standards for code quality, testing, documentation, and peer review across the team Guide the team in best practices for data pipeline development, retrieval system design, and test automation

Ensure comprehensive test coverage including unit testing, integration testing, and retrieval quality evaluation

Drive adoption of test-driven development (TDD) practices and automated quality gates

Planning & Delivery Own the team's roadmap and delivery commitments, translating business requirements into actionable technical plans

Break down complex integration initiatives into well-scoped work items with clear acceptance criteria

Track progress, identify risks early, and adjust plans to meet deadlines without sacrificing quality

Provide regular status updates and delivery forecasts to leadership

Stakeholder Collaboration Partner with product, platform engineering, and agent development teams to align knowledge…