Project Manager II

Job Title: Technical Project Manager – .NET, Data & AI Role Summary We are looking for an experienced Technical Project Manager to manage multiple .NET application development, Data Engineering/Data Warehouse, and AI/GenAI initiatives. The role requires strong delivery governance, customer and stakeholder management, project financial management, forecasting, metrics and reporting, along with sufficient technical understanding to effectively manage modern application, data, and AI initiatives. Hands-on development is not required, but the candidate should be comfortable engaging with engineering and architecture teams, understanding technical dependencies and risks, and translating them into effective project plans and customer communication. Key Responsibilities • Manage multiple concurrent .NET/application development, Data Engineering/Data Warehouse, and AI/GenAI projects and initiatives. • Own project planning, estimation, scheduling, resource planning, milestones, dependencies, risks, issues, and delivery commitments. • Manage cross-project priorities, shared-resource dependencies, capacity constraints, and competing customer commitments across multiple initiatives. • Coordinate across development, architecture, data engineering, AI/ML, QA, DevOps, infrastructure, and business teams. • Drive Agile/Scrum ceremonies and track deliverables, dependencies, risks, and actions to closure. • Manage RAID, scope changes, customer dependencies, delivery risks, and escalations. • Track delivery KPIs covering schedule, effort, quality, productivity, utilization, project health, and delivery performance. • Prepare and publish regular customer and leadership status reports, including milestones, risks, dependencies, financial status, and key decisions/actions. • Own project financial tracking including revenue, cost, billing, utilization, margin, invoice submission, accounts-receivable/payment follow-up, and forecast-versus-actual variance. • Maintain delivery and financial forecasts, including resource demand, revenue/cost outlook, milestone forecasts, and variance analysis. • Conduct customer governance calls and effectively manage onsite/offshore stakeholders. • Proactively manage customer expectations, dependencies, escalations, and delivery commitments. Mandatory Skills & Experience • Minimum 8 years of overall IT experience, with 4–6+ years of experience in Project/Delivery Management. • Strong experience in Project/Delivery Management, preferably managing multiple concurrent projects. • Strong experience managing .NET/application development projects. • Strong understanding of Agile/Scrum, SDLC, release management, estimation, planning, risk management, and delivery governance. • Experience with project financial management, including revenue, cost, billing, utilization, margin, invoicing, forecasting, and payment/AR follow-up. • Strong customer and stakeholder management experience, including governance, status reporting, dependency management, and escalations. • Experience managing delivery metrics/KPIs and management reporting. • Experience working with globally distributed onsite/offshore teams. • Sufficient technical understanding to participate effectively in engineering discussions, identify dependencies and risks, and drive appropriate actions with technical teams. Preferred Skills & Experience • Experience managing Data Engineering and/or Data Warehouse projects. • Experience managing or supporting AI/GenAI initiatives. • Exposure to the Azure ecosystem, including technologies such as Azure OpenAI, Azure Data Factory, Databricks, Azure services, SQL, CI/CD, and DevOps. • PMP, Scrum/Agile, or equivalent certification. Technical Understanding Hands-on development is not required. However, the candidate should have a good working understanding of the following areas: .NET / Application Development • .NET/.NET Core • C# • APIs and integrations • SQL Server • Microservices • Application development and modernization • CI/CD and application release processes Data Engineering / Data Warehouse • ETL/ELT concepts • Data pipelines • Data Warehousing • Data integration and migration • Data reconciliation • Data quality • SQL • Azure Data Factory and Databricks exposure is desirable The candidate should be able to understand data dependencies, integration challenges, reconciliation issues, migration risks, and their impact on project delivery. AI / GenAI Experience managing or supporting AI/GenAI initiatives from POC through productionization, with an understanding of: • AI/ML lifecycle • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • AI APIs and integrations • Data and knowledge-source dependencies • AI solution evaluation • Security and data considerations • Deployment and productionization • Operational and monitoring considerations Deep AI development expertise is not required. The candidate should be capable of understanding technical discussions and effectively managing dependencies, risks, milestones, stakeholders, and production-readiness considerations. Delivery & Financial Management Expectations The candidate should be capable of independently managing both delivery and commercial aspects of assigned projects, including: • Project planning and forecasting • Resource demand and capacity planning • Schedule and milestone tracking • Delivery forecast versus actual • Revenue and cost forecasting • Billing and invoicing • Utilization and margin tracking • Accounts-receivable/payment follow-up • Variance analysis and corrective actions • Delivery and financial reporting to leadership • Scope and change management • RAID management • Customer dependencies and escalations Behavioral Expectations • Strong ownership, accountability, and integrity. • Collaborative leadership with strong people and stakeholder management skills. • Ability to operate effectively across multiple projects and priorities. • Ability to work under delivery pressure and manage customer escalations professionally. • Strong analytical and problem-solving approach. • Proactive communication rather than reactive status reporting. • Ability to work with both technical and business stakeholders. • Alignment with UST values of Humility, Humanity, and Integrity. Working Hours Regular availability for customer and governance calls up to 11:00 AM EST/EDT, with occasional flexibility based on critical project or customer needs.