Senior Technical Project Manager (Software Engineering Background)

Location: On-site (Full-time) — CSG Info Tech Office, Phase 7, Bahria Town, Islamabad

Reporting To: Project Director

Salary Package: PKR 300,000 to PKR 500,000 per month.

Role Purpose:

We need a hands-on Senior Technical Project Manager who can lead end-to-end delivery of our enterprise transformation program, including:

• Microsoft Dynamics 365 Business Central (BC) customization + new modules,
• Primavera (P6) integration with Business Central integration via APIs, and
• A complete AI Agents program:

· Module AI Agents (one per BC module) trained on best practices + international standards and embedded to guide users step-by-step.

· A Master AI Agent with three capabilities:

a) Horizon scanning + strategic planning (research → reports → long-term strategy)

b) Market research + market plan generation (niche, customer base, buying power, competition, GTM plan)

c) AI Voice Sales Agent (high-volume outbound calling capability) designed and governed with legal/ethical controls.

This role owns both delivery leadership and technical governance (architecture reviews, CI/CD, integration quality, AI safety/compliance, and operational readiness).

Key Responsibilities:

1) Program & Project Delivery Leadership (ERP + Integration + AI)

• Own the Project Execution Plan (PEP): scope baseline, schedule, resource/capacity plan, quality plan, risk plan, and communications plan.
• Run the full delivery cadence: sprint planning, daily stand-ups, sprint reviews, retrospectives, and milestone gate meetings.
• Manage and report scope/schedule/effort, RAID, dependencies, and change control to ensure predictable delivery.
• Establish governance for multi-stream delivery (BC modules, Primavera integration, AI agents) including release train planning and cutover strategy.
• Coordinate stakeholders (Project Director, Technical Supervisor/Lead, developers, QA, business users, external vendors).

2) Azure DevOps Platform Ownership (End-to-End)

• Configure and administer Azure DevOps Projects:
• Azure Boards: Epics/Features/Stories/Tasks/Bugs hierarchy, workflows, fields, dashboards, delivery plans, queries, and reporting.
• Azure Repos: branching strategy, PR policies, code review rules, repo governance.
• Azure Pipelines: CI/CD pipelines, release workflows, environment approvals, secrets management, rollback strategy.
• Other Tools: Such as MS Fabric and Testing Tools etc.
• Enforce “ways of working” discipline:
• No work without work items
• Estimation rules and sprint planning discipline
• Daily updates of remaining work
• Strong Definition of Done (DoD) and acceptance criteria at story/feature level

3) Primavera integration with Business Central Integration (API Program Leadership)

• Lead and supervise the full integration lifecycle:
• Requirements, integration architecture, mapping, API design, error handling, performance targets, security design, and documentation.

• Ensure robust integration patterns:
• Authentication/authorization (e.g., OAuth2/Azure AD), role-based access, audit logs
• Retry logic, idempotency, reconciliation, monitoring/alerts
• Manage integration testing: SIT/UAT, data validation, edge cases, cutover/go-live readiness.
• Coordinate any middleware approach (e.g., Azure Functions/Logic Apps/Service Bus/API Management) as needed for reliable orchestration.

4) AI Agents Program Leadership (Module Agents + Master Agent)

A) Module AI Agents (one per module)

• Define a repeatable blueprint for module agents:
• Knowledge scope (policies, SOPs, best practices, international standards)
• User guidance flows (how-to, validations, coaching, checklists)
• Access control by role (who can ask/see what)
• Supervise technical approach (RAG, knowledge base governance, content updates, agent evaluations).
• Ensure each module agent delivers:
• Accurate operational guidance aligned to approved SOPs
• Traceable sources/knowledge references (internal docs)
• Feedback loop for continuous improvement

B) Master AI Agent (3-level capability)

• Horizon scanning for long-term strategy
• Build research workflows and reporting templates
• Produce structured outputs: trends, risks, opportunities, scenarios, strategic initiatives and roadmap

• Market research for market plan
• Research niche, segmentation, customer base, pricing, competitor landscape, channels, GTM plan
• Convert findings into a clear marketing plan (positioning, funnel, budget logic, KPIs)
• AI voice sales agent
• Lead design and governance for outbound calling capability at scale
• Implement controls: consent, DNC compliance, call recording policy, escalation to human, QA sampling, and script/version control
• Define KPIs: connect rate, qualification rate, conversion rate, compliance rate, and customer satisfaction

5) Quality, Security, and Engineering Governance

• Partner with the Technical Supervisor/Lead to enforce:
• PR discipline, code quality gates, branching policy, peer reviews
• Automated testing where feasible; structured manual testing where needed
• Defect lifecycle management, regression control, release readiness
• Track engineering metrics: defect trends, rework ratio, lead/cycle time, deployment success rate, change failure rate.
• Ensure security and compliance basics across ERP + integrations + AI:
• Secrets management, least-privilege access, audit logs, data protection, and environment controls.

6) Collaboration & Documentation Governance (Teams + SharePoint/OneDrive)

• Configure Azure DevOps with Teams integration (alerts for work items/PRs/ builds/releases) and Time Doctor etc.
• Build a structured SharePoint/Teams documentation system for:
• PEP, BRDs/FRDs, designs, test artifacts, change requests, training, cutover/go-live checklists.
• Implement SharePoint/OneDrive approvals for governance gates (requirements/design/UAT/go-live).

Required Qualifications

• Bachelor’s degree in Computer Science / Software Engineering (or equivalent experience).
• 8+ years in software delivery, including 3+ years as Technical PM / Scrum Master / Delivery Lead / TPM.
• Proven delivery experience of enterprise applications (ERP/CRM/large-scale business systems).
• Strong hands-on experience with Azure DevOps (Boards, Repos, Pipelines).
• Strong understanding of Agile/Scrum + Hybrid governance (waterfall gates + sprint execution).
• Excellent communication, reporting, stakeholder management, and team leadership skills.

Must-Have Technical Skills

• .NET / C# understanding (able to review code and unblock engineers).
• Azure fundamentals: App Services/Functions, Key Vault, Storage, Azure SQL (working knowledge).
• API integrations: REST, authentication, webhooks, error handling, logging/monitoring.
• SQL: query ability + performance basics.
• Git branching strategies + PR best practices + CI/CD concepts.

Preferred / High-Value Experience

• Dynamics 365 Business Central: AL language, extensions, BC APIs, permissions, environments.
• Primavera P6 integration: experience with P6 APIs (EPPM/REST) and schedule/cost/resource data mapping.
• Azure Integration Services: API Management, Service Bus, Logic Apps, Functions (or equivalent).
• Power BI for executive dashboards and delivery reporting.
• Test management: SIT/UAT planning, release readiness, production cutovers.

AI / Agent Expertise (Preferred)

• Experience managing delivery of AI assistants/agents in enterprise settings:
• Knowledge base governance, evaluation/testing, prompt/version control, role-based access.
• Familiarity with agent orchestration patterns (multi-agent workflows, tool/function calling).
• Understanding of RAG architecture (Azure OpenAI + Azure AI Search or equivalent) and secure integration into ERP modules.

Key Deliverables / Success Measures (KPIs)

• PEP established and maintained; cadence running consistently.
• Reliable forecasting and visibility via Azure DevOps dashboards and reports.
• Stable CI/CD pipelines with controlled releases and reduced deployment risk.
• Successful Primavera ↔ BC integration: accurate data flow, monitoring, auditability, and low defect rate.
• Deployment of module AI agents with measurable improvement in user adoption, process compliance, and reduced support load.
• Master AI agent producing usable strategy/market outputs on a repeatable schedule.
• AI voice agent delivered with compliance controls, QA process, and conversion KPIs.

Working Model

• Full-time, on-site (Islamabad office) with direct coordination across developers, QA, business users, and leadership.

May coordinate/work with external vendors/consultants/developers as required, but remains accountable for delivery outcomes.

Job Type: Full-time

Pay: Rs300,000.00 - Rs500,000.00 per month

Work Location: In person