Assistant Vice President, User Enablement Technologist

Antares•New York, NY

2d•$145,000 - $175,000•Hybrid

About The Position

The User Enablement team is a critical part of Antares, partnering across every function of the firm to help our people get more out of the technology they already have and to adopt what comes next. The team works at the intersection of business process, end-user experience and emerging technology, turning everyday friction into practical, well-governed solutions. The User Enablement Technologist, AVP is a senior individual contributor reporting to the Vice President, Lead Engineer, User Enablement. The role is responsible for designing, building and delivering practical, well-governed AI-enabled solutions that make the firm measurably more effective — and for leading, mentoring and upskilling business teams so they become capable, confident adopters of those solutions rather than passive recipients of them. This is a hands-on, highly autonomous position that pairs real engineering capability with the judgment to work directly with business stakeholders, listen beneath the surface of what is asked to understand what is actually needed, and deliver it within Antares' established technology governance. The ideal candidate brings deep, practical fluency across the Microsoft productivity ecosystem — including Copilot, Power Automate, Power Apps and Teams — combined with meaningful experience applying LLMs and enterprise AI platforms to automate tasks and drive end-user productivity. They are a broad technologist who learns new platforms quickly, is energized rather than deterred by unfamiliar problems, and can move from a hallway conversation to a working solution without waiting for a fully specified requirement. This individual will work closely with business stakeholders across the firm and with partner teams in Infrastructure, Security, Data, PMO and Architecture.

Requirements

Bachelor’s degree in Information Systems, Computer Science or a technology-related field, or equivalent experience.
7+ years of professional technology experience in roles that directly support or enable end users — such as solutions engineering, automation, systems engineering, IT product ownership or senior technical support.
3+ years of hands-on experience building and delivering solutions on enterprise AI or large language model platforms, including prompt and context design, assistants or agents, and integration with business systems.
Demonstrated ability to operate independently in ambiguity — taking a loosely defined business problem through discovery, design, delivery and handoff without close supervision, while keeping many concurrent commitments visible.
Practical scripting and integration ability, including a modern scripting language and consumption of REST APIs to connect systems and automate manual work.
Practical familiarity with the Microsoft 365 productivity ecosystem — including Copilot, Power Automate, Power Apps and Teams — with emphasis on how these tools are used to improve end-user productivity rather than on platform administration.
Demonstrated ability to deliver within established technology governance — intake, architecture review, security review and change control — and to work within acceptable-use, data handling, retention and records policies applicable to AI and automation.
Clear evidence of end-user orientation: patience with non-technical colleagues, genuine interest in their work, and the analytical discipline to distinguish what a business partner says they need from what will actually solve their problem — hearing what is beneath the ask, not just what is on the surface.
Excellent written and verbal communication, including the ability to explain a technical recommendation to a business audience and document it clearly enough for others to support.

Nice To Haves

Experience introducing a new AI or automation capability to an organization end to end, including pilot design, guardrails, rollout and support model.
Experience with enterprise service management and work management platforms, including workflow, form and reporting configuration.
Familiarity with Microsoft 365 administration sufficient to configure and troubleshoot productivity tools — not a primary focus, but useful context for diagnosing end-user issues.
Experience building integrations or extensions using an agent, tool-calling or model-context framework.
Experience in a highly regulated environment with formal audit, data handling, retention and change control obligations.
Experience in financial services, private credit, banking, asset management or capital markets.
Experience with low-code and no-code workflow automation platforms.
Hands-on experience participating in or facilitating rapid prototyping or design sprint sessions — where the objective is a working demonstration produced alongside business stakeholders within a compressed timeframe. Strongly preferred: candidates who can describe specific sessions they have led or contributed to and what came out of them.
Experience contributing to enterprise knowledge management and technical documentation standards.
Relevant platform, cloud or AI certifications.

Responsibilities

Design, build and deliver AI-enabled solutions — assistants, agents, automations and workflow integrations — that solve real end-user problems and are used in day-to-day production.
Work directly with business stakeholders to understand how work actually gets done — asking the right questions, listening beneath stated requests to identify root causes, and translating ambiguous asks into clear, actionable requirements.
Evaluate and pilot emerging AI and productivity technologies within approved firm platforms, forming an independent, evidence-based point of view on what is genuinely useful to the firm and what is not.
Modernize long-standing manual and workaround-driven processes using approved AI and automation capabilities, ensuring replacements are documented, access-controlled, auditable and supportable rather than dependent on their author.
Build and maintain integrations across the firm’s core productivity, service management and work management platforms using scripting and APIs.
Serve as a support end-user and AI platforms as needed, including light configuration, troubleshooting and escalation — with primary focus on end-user productivity outcomes rather than platform administration.
Prepare technology intake submissions, architecture review materials, security review responses and stakeholder requirement briefs for review and presentation by technology leadership.
Operate within the firm’s technology intake and governance model, routing requests for Domain Lead awareness, architecture review, security review or formal intake as required, and documenting the basis for the handling path taken.
Author and maintain knowledge articles, runbooks and technical documentation to the firm’s documentation standard so that solutions are supportable by others and single-point-of-contact risk is mitigated.
Define and track adoption, usage and outcome measures for delivered solutions so that continued investment is based on evidence rather than enthusiasm.
Cover the team’s recurring operational and reporting obligations — request and queue health, work-item visibility and management reporting — during absences and peak periods.
Partner with Infrastructure, Security, Data, PMO and Architecture teams to ensure solutions are compliant, supportable and consistent with firm standards.
Learn the firm’s processes, policies and controls quickly and operate within them, escalating where necessary rather than routing around governance.
Remain current with a rapidly changing AI and end-user technology landscape and bring recommendations forward proactively.
Lead, mentor and coach business teams in the effective use of AI-enabled tools and Microsoft productivity capabilities — building capability and confidence in the business so that adoption is sustained and teams grow less dependent on IT for routine automation.
Exercise clear scope judgment — independently design and deliver small-to-medium solutions end-to-end, and proactively escalate larger or higher-risk requirements to senior management with a well-framed problem statement, risk summary and recommended path forward.
Participate in rapid prototyping sessions alongside business stakeholders, turning loosely defined ideas into working demonstrations quickly to accelerate decision-making and build business confidence in new solutions.