The AI Project Manager is responsible for planning, executing, and delivering AI-enabled initiatives across corporate functions. Working at the intersection of technology and operations, this individual will manage the full project lifecycle for internal AI deployments — from intake and scoping through change management and post-launch review. This role is central to Argano’s strategy of operationalizing AI responsibly and efficiently within a professional services environment.
RESPONSIBILITIES:
Project Planning & Execution
Define project scope, objectives, milestones, and success metrics in collaboration with functional stakeholders and technical teams.
Develop and maintain detailed project plans, schedules, and status reports for all active AI initiatives.
Manage project budgets, resource allocations, and vendor engagements as applicable.
Identify, track, and mitigate risks and issues throughout the project lifecycle. AI Initiative Management
Serve as the primary point of contact and accountability for internal AI projects, including process automation, AI-assisted analytics, document intelligence, and productivity tooling.
Coordinate with IT, legal, compliance, and business unit leads to ensure AI solutions are implemented securely and in alignment with firm policy.
Maintain a prioritized AI project backlog in coordination with the Corporate Operations leadership team.
Support vendor evaluation, pilot design, and proof-of-concept scoping for emerging AI tools under consideration. Stakeholder Engagement & Communication
Facilitate working sessions, steering committee updates, and executive briefings on project status and strategic progress; adept at translating complex technical concepts into clear, concise narratives for senior leadership.
Partner with change management resources to drive adoption of new AI-enabled workflows. Governance & Standards
Uphold PMO standards for documentation, project intake, reporting, and lifecycle governance.
Contribute to the development and refinement of AI project templates, playbooks, and best practices.
Ensure proper documentation of AI use cases, data considerations, and operational handoffs.
MINIMUM AND/OR PREFERRED QUALIFICATIONS:
7+ years of project management experience, with at least 3 years leading technology or digital transformation initiatives.
Demonstrated experience managing cross-functional projects in a professional services, consulting, or corporate environment.
Proficiency with project management tools such as Smartsheet, Jira, Azure DevOps, or equivalent.
Exceptional written and verbal communication skills, with demonstrated experience preparing and delivering presentations, executive briefings, and strategic updates to C-suite and senior leadership audiences.
Proven ability to manage multiple concurrent projects with competing priorities.
PREFERRED QUALIFICATIONS:
PMP, CAPM, or equivalent project management certification.
Familiarity with AI/ML concepts, large language models, or enterprise AI platforms (e.g., Microsoft Copilot, OpenAI, UiPath, or similar).
Exposure to AI governance, responsible AI frameworks, or data privacy considerations in an enterprise context.
Prior experience within a PMO or COO/Operations function.
Project Management Skills: Working knowledge of project management principles, tools, and documentation practices.
Communication: Clear written and verbal communication. Ability to keep internal stakeholders informed on project status and issues.
Organization: Ability to manage multiple workstreams, maintain accurate records, and keep project artifacts up to date.
Project Management Tools: Familiarity with project management software such as JIRA, Smartsheet, or ADO.
Problem-Solving: Ability to identify issues early and bring them to the right people promptly.
Attention to Detail: Produces accurate documentation and tracks task status with care.
Escalation Awareness: Understands when and how to escalate issues internally, and communicates blockers to senior staff in a timely manner.
