Sr. Program Manager

1 week ago


Bengaluru, Karnataka, India Useready Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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 & 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 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, , or Smartsheet.

  • Experience managing projects involving data governance, metadata management, or master data management (MDM).



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