You will own end-to-end project delivery across multiple clients in the IT services domain. This includes managing all client interactions, leading cross-functional teams, crafting solutions & proposals, and instituting robust processes/documentation. A strong technical grounding—especially in AI/ML models, Power BI/analytics, and modern web/app stacks—is essential.

Key Responsibilities

 Client & Stakeholder Management

• Act as the primary point of contact for enterprise clients; drive cadence calls, steering meetings, and executive updates.
• Proactively manage expectations, scope, risks, and escalations in high-pressure environments.
Build long-term relationships, identify expansion opportunities, and ensure high CSAT/NPS.

Project & Delivery Management

• Plan, execute, and deliver projects using Agile/Hybrid methodologies—on time, within scope and budget.
• Define and track project charters, WBS, sprint plans, and status reports.
• Coordinate internal teams (engineering, design, QA, data/AI) and external vendors to maintain delivery velocity and quality.
Set up and continuously improve SOPs, documentation standards, and governance frameworks.

Solutioning & Pre-Sales

• Lead solution discovery workshops; translate business problems into technical architectures and implementation roadmaps.
• Draft winning proposals, SoWs, effort estimates, and RFP/RFI responses with clear value articulation.
Collaborate with sales/leadership to price, position, and present solutions to prospects.

Technical Leadership

• Guide teams on solution approaches involving AI/ML models (LLMs, CV, NLP), data engineering, and BI (Power BI, BigQuery, etc.).
• Review high-level architecture, integration patterns, and ensure feasibility/maintainability of proposed solutions.
Stay current with emerging tech and recommend adoption where it drives measurable business impact.

Must-Have Qualifications

• 6+ years of total experience, with at least 5 years in a client-facing Project/Program Management role within an IT services/consulting environment.
• Proven track record of simultaneously managing multiple mid-to-large scale digital/analytics/AI projects.
• Strong solutioning ability with demonstrable experience in at least two of:
• AI/ML (LLMs, prompt engineering, model integration)
• Data & Analytics (Power BI, data pipelines, SQL/BigQuery)
• Web/mobile application development stacks and APIs
• Exceptional communication (written & verbal) and presentation skills; able to converse with both CXOs and engineers.
• Mastery of PM tools and practices (Jira/Azure DevOps, MS Project, risk management, budgeting).
• Process orientation—experience defining SOPs, documentation templates, QA gates, and governance cadences.
Comfortable working in fast-paced, high-pressure, ambiguity-heavy environments.

Good-to-Have

• Exposure to automotive or healthcare domains.
Understanding of cloud platforms (Azure/GCP/AWS) and MLOps/DataOps practices.

KPIs / Success Metrics

• On-time, on-budget delivery %
• Client satisfaction (CSAT/NPS) & account growth
• Gross margin targets met per project
• Proposal win rate & velocity of pre-sales turnaround
• Process compliance and audit readiness