Note: The job is a remote job and is open to candidates in USA. Datifact is hiring a Technical Project Manager to lead AI and data engagements from kickoff through go-live and managed services. The role coordinates engineering and client stakeholders, manages project scope and delivery, and supports repeatable processes and service transitions.

Responsibilities

• Own end-to-end delivery of client engagements: discovery, data layer builds, ontology design, application builds and go-live
• Build and manage project plans, milestones, dependencies and resourcing across several concurrent clients
• Run sprint planning, standups and retrospectives, and keep the backlog groomed and prioritized
• Track scope, budget and hours against the statement of work, and flag risks early with a clear recommendation
• Serve as the day-to-day point of contact for client stakeholders, from finance and operations leaders to IT teams
• Lead kickoffs, status meetings, demos and executive readouts
• Run discovery sessions and stakeholder interviews, and translate what the business needs into clear requirements engineering can build against
• Manage change requests and keep clients aligned on what is in scope, what is next and why
• Coordinate system access, credentials, integrations and data connections with client IT (ERP, CRM, accounting and data platforms)
• Write and maintain technical documentation: requirements, architecture summaries, data mappings, runbooks and handoff guides
• Partner with the CTO, AI engineers and solutions engineering to sequence work and remove blockers
• Coordinate vendor security reviews and compliance questionnaires with engineering
• Build repeatable delivery playbooks so every new engagement starts faster than the last
• Maintain the internal ticketing, project tracking and reporting that keeps leadership informed
• Support the transition from build to managed services, including SLAs and ongoing enhancement roadmaps

Skills

• 5+ years of technical project management, with at least 2 years on data, analytics, BI or AI projects
• A track record of delivering client-facing technical projects on time and within scope, ideally in consulting or professional services
• Working technical fluency in data pipelines, data warehouses, APIs, system integrations and cloud platforms; enough to follow an architecture discussion and ask the right questions
• Familiarity with how LLM applications are built and evaluated (retrieval, agents, prompts, evaluations)
• Strong command of Agile and hybrid delivery methods, and the judgment to use as much process as the project needs and no more
• Experience with project and ticketing tools (ClickUp, Jira, Asana or similar)
• Clear, confident communication with executives and engineers alike, in writing and in the room
• Calm under pressure and comfortable owning hard conversations about scope, timelines and tradeoffs
• PMP, CSM, PMI-ACP or similar certification
• Background in finance, accounting or operations systems (QuickBooks Online, NetSuite, Salesforce)
• Hands-on SQL or experience with Snowflake, Databricks or similar platforms
• Experience with EOS (Rocks, Scorecard, Level 10 meetings)
• Experience running vendor security reviews or SOC 2 questionnaires
• Prior work at an early-stage startup or a small, fast-moving delivery team

Benefits

• Medical coverage 100% paid by Datifact for employees
• Flexible time off
• Monthly phone and internet stipend
• Direct access to Datifact leadership and a real voice in how Datifact delivers
• A front-row seat to enterprise AI being built and deployed in real businesses
• Remote work is open for the right candidate, with occasional travel to client sites and team sessions.

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