Technical Project Manager

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 Big Query.

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).