Senior Project Manager

USEReady is a data and analytics firm that provides the strategies, tools, capability, and capacity that businesses need to turn their data into a competitive advantage.

USEReady partners with cloud and data ecosystem leaders like Tableau, Salesforce, Snowflake and Amazon Web Services, and has been named Tableau partner of the year multiple times.

Technical

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.

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

  )

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)

  .