The primary objective of this role is to ensure that all active projects are delivered with clear ownership, predictable timelines, proper documentation, strong client communication, quality control, and minimal daily intervention from the founder.

The candidate will act as the bridge between business requirements, client expectations, technical teams, and delivery execution.

Key Responsibilities :

1. Program & Project Delivery Ownership :

- Own end-to-end delivery management for multiple AI, software, automation, data, and IT services projects.

- Convert client requirements into structured project plans, milestones, timelines, tasks, and ownership.

- Track project progress across daily, weekly, and monthly execution cycles.

- Ensure every project has a clear scope, timeline, owner, milestone plan, risk tracker, and delivery status.

- Identify blockers, delays, dependencies, and execution risks early.

- Ensure projects are delivered within agreed timelines, scope, quality, and client expectations.

- Reduce founder involvement in daily project follow-up and execution tracking.

2. Technical Program Management :

- Work closely with ML engineers, software engineers, automation engineers, QA, data teams, and technical leads.

- Understand technical dependencies, integration risks, infrastructure needs, APIs, data flows, model deployment constraints, and engineering bottlenecks.

- Translate business and client requirements into actionable technical execution plans.

- Coordinate technical discussions and ensure decisions are documented.

- Ensure technical work is converted into clear tasks, owners, deadlines, and acceptance criteria.

- Participate in solution-planning discussions without needing to be the deepest technical expert.

- Escalate technical risks with clear options and recommended next steps.

3. Client Communication & Stakeholder Management :

- Act as the primary delivery-side contact for selected clients.

- Conduct client status calls, project review meetings, and delivery updates.

- Share clear updates on progress, timelines, risks, blockers, scope, and next steps.

- Convert client feedback into structured internal tasks.

- Manage expectation-setting around timelines, scope changes, dependencies, and delivery constraints.

- Handle client escalations professionally and involve the founder only when required.

- Maintain strong delivery-side client confidence and communication discipline.

4. Team Coordination & Execution Discipline :

- Allocate work across developers, ML engineers, automation engineers, QA, analysts, and other team members.

- Ensure every team member has clear weekly and daily priorities.

- Track task completion, blockers, dependencies, and quality issues.

- Conduct internal delivery review meetings.

- Ensure young team members understand deadlines, ownership, escalation routes, and quality standards.

- Improve team accountability without micromanagement.

- Create discipline around task updates, documentation, and follow-through.

5. Delivery SOPs & Process Building :

- Build and implement delivery SOPs for the company.

- Create standard processes for project kickoff, requirement gathering, sprint planning, task allocation, QA, deployment, client updates, risk management, and project closure.

- Create reusable templates for project plans, meeting notes, status reports, risk trackers, change request logs, scope documents, and handover notes.

- Ensure project knowledge does not remain only in individual team members heads.

- Improve documentation discipline across all active projects.

- Build repeatable delivery systems that can scale as the company grows.

6. Agile / Sprint / Execution Management :

- Plan weekly or sprint-based execution cycles.

- Maintain task boards using tools such as Jira, ClickUp, Asana, Notion, Trello, Linear, GitHub Projects, or similar platforms.

- Ensure user stories, tasks, bugs, dependencies, and releases are properly tracked.

- Conduct sprint planning, daily/weekly check-ins, reviews, retrospectives, or equivalent operating cadences.

- Ensure work is not managed informally through scattered messages or verbal updates.

- Create visibility into what is planned, what is blocked, what is delayed, and what is completed.

7. Quality Control & Delivery Review :

- Ensure all deliverables go through proper internal review before being shared with clients.

- Coordinate QA, UAT, bug tracking, acceptance testing, and release readiness.

- Maintain quality checklists for recurring project types.

- Ensure client feedback, bugs, and change requests are tracked to closure.

- Reduce rework caused by unclear requirements, poor handoffs, or weak internal reviews.