Sr. Program Manager

Job Description Job Summary: We are seeking an experienced and detail-orientedTechnicalProject Manager, with strong interpersonal skills to lead and manageData, Business Intelligence (BI), and Analytics&Gen AIinitiatives 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 likeSnowflake,Tableau, andPower 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 usingTableauand/orPower 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 deliveringdata, AI Ml, BI / analytics-focusedenvironments. - Experience delivering projects with cloud platforms (e.g.,Azure,AWS,GCP) and data platforms likeSnowflake. - Proficiency in managing BI projects preferablyTableauand/orPower 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 involvingdata governance,metadata management, ormaster data management (MDM).