Associate Director, AI & Intelligent Automation

The Associate Director will own the end-to-end delivery of AI workflow products from kick-off through pilot completion, ensuring alignment with client expectations, product specifications, and quality standards. They will coordinate multi-disciplinary technical teams (Process Architects, Automation Specialists, Data Engineers, Prompt Engineers) while acting as the primary point of contact for stakeholders. This role will govern timelines, budgets, scope, and risk, then execute a structured hand-off to the Run team for long-term operations.

Key Responsibilities

Client-Facing Program Management

Act as the primary liaison between Product Team, clients, and build teams.

Translate product requirements into clear delivery plans with milestones and acceptance criteria.

Run status meetings, demos, and pilot reviews with clients and internal stakeholders.

Project Governance

Maintain project plans, RAID logs (Risks, Assumptions, Issues, Dependencies), and delivery dashboards.

Ensure quality gates are met before deployment to pilot.

Coordinate cross-role dependencies to avoid blockers.

Technical-Aware Delivery Oversight

Understand the basics of AI workflow architecture, API integrations, and automation tooling (Zapier, Make.com, LangChain, etc.) to speak confidently with technical teams.

Spot and escalate delivery risks early (e.g., data availability, API limitations).

Support light troubleshooting during build phases.

Transition to Run

Prepare handover documentation including workflow runbooks, test results, and KPI baselines.

Host transition briefings with Run team, ensuring all operational and monitoring requirements are in place.

Fully relinquish ownership after transition while ensuring any lessons learned are captured.

Ideal Candidate Background

Experience : 5–8 years in client-facing project / program management within technology, digital marketing, SaaS, or automation environments.

Proven track record of delivering complex multi-stakeholder projects from concept to operational hand-off.

Exposure to AI, automation, or martech platforms preferred but not mandatory if strong technical aptitude is shown.

Core Skills : Strong stakeholder management and communication (can translate tech to business and vice versa).

Proficient in project management tools (Jira, Asana, MS Project, or similar).

Basic understanding of workflow automation, APIs, and data flow concepts.

Skilled in risk management and scope control.

Attributes : Highly organized, detail-oriented, and adaptable in fast-paced environments.

Comfortable working with cross-functional technical teams and business executives.

Able to “speak enough tech” to build trust with engineers without being the builder.

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