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.
Company Overview