Sr. Project Manager

Job Description

Job Summary: We are seeking an experienced and detail-oriented Technical Project Manager , with strong interpersonal skills to lead and manage Data, Business Intelligence (BI), and Analytics initiatives across single and multiple client engagements. The ideal candidate will have a solid background in data project delivery, knowledge of modern cloud platforms, and familiarity with tools like Snowflake , Tableau , and Power BI . Understanding of AI and machine learning projects is a strong plus. This role requires strong communication and leadership skills, with the ability to translate complex technical requirements into actionable plans and ensure successful, timely, and high-quality delivery with attention to details. Key Responsibilities: Project Program Delivery Manage end-to-end, the full lifecycle of data engineering and analytics, projects including data platform migrations, dashboard/report development, and advanced analytics initiatives. Define project scope, timelines, milestones, resource needs, and deliverables in alignment with stakeholder objectives. Manage budgets, resource allocation, and risk mitigation strategies to ensure successful program delivery. Use Agile, Scrum, or hybrid methodologies to ensure iterative delivery and continuous improvement. Monitor performance, track KPIs, and adjust plans to maintain scope, schedule, and quality. Excellence in execution and ensure client satisfaction Client Stakeholder Engagement Serve as the primary point of contact for clients and internal teams across all data initiatives. Translate business needs into actionable technical requirements and facilitate alignment across teams. Conduct regular status meetings, monthly and quarterly reviews, executive updates, and retrospectives. Manage Large teams Ability to manage up to 50+ resources working on different projects for different clients. Work with practice and talent acquisition teams for resourcing needs Manage P L Manage allocation, gross margin, utilization etc effectively Team Coordination Lead and coordinate cross-functional teams including data engineers, BI developers, analysts, and QA testers. Ensure appropriate allocation of resources across concurrent projects and clients. Foster collaboration, accountability, and a results-oriented team culture. Data, AI and BI Technology Oversight Manage project delivery using modern cloud data platforms Oversee BI development using Tableau and/or Power BI , ensuring dashboards meet user needs and follow visualization best practices. Conduct UATs Manage initiatives involving ETL/ELT processes, data modeling, and real-time analytics pipelines. Ensure compatibility with data governance, security, and privacy requirements. Manage AL ML projects Data Cloud Understanding Oversee delivery of solutions involving cloud data platforms (e.g., Azure, AWS, GCP), data lakes, and modern data stacks. Support planning for data migrations, ETL processes, data modeling, and analytics pipelines. Be conversant in tools such as Power BI, Tableau, Snowflake, Databricks, Azure Synapse, or BigQuery. Risk, Quality Governance Identify and mitigate risks related to data quality, project timelines, and resource availability. Ensure adherence to governance, compliance, and data privacy standards (e.g., GDPR, HIPAA). Maintain thorough project documentation including charters, RACI matrices, RAID logs, and retrospectives. Qualifications: Bachelor s degree in Computer Science, Information Systems, Business, or a related field. Certifications (Preferred): PMP, PRINCE2, or Certified ScrumMaster (CSM) Cloud certifications (e.g., AWS Cloud Practitioner , Azure Fundamentals , Google Cloud Certified ) BI/analytics certifications (e.g., Tableau Desktop Specialist , Power BI Data Analyst Associate , DA-100 ) Must Have Skills: Strong communication skills Strong interpersonal Ability to work collaboratively Excellent Organizing skills Stakeholder Management Customer Management People Management Contract Management Risk Compliance Management C-suite reporting Team Management Resourcing Experience using tools like JIRA, MS Plan etc. Desirable Skills: 15 years of IT experience with 8+ years of proven project management experience, in delivering data, AI Ml, BI / analytics-focused environments. Experience delivering projects with cloud platforms (e.g., Azure , AWS , GCP ) and data platforms like Snowflake . Proficiency in managing BI projects preferably Tableau and/or Power BI . Knowledge or hands on experience on legacy tools is a plus. Solid understanding of the data lifecycle including ingestion, transformation, visualization, and reporting. Comfortable using PM tools like Jira, Azure DevOps, Monday.com, or Smartsheet. Experience managing projects involving data governance , metadata management , or master data management (MDM) .