PM (Data Analytics)

Hi,

This is Praveen from Naztek Group.

We are Hiring for below role please share me your resume if interested.

Role- PM (Data Analytics)

Location-Remote

Client-Kforce

Job Description-

Must Have:

• Managed data analytics projects in the past and understands terms like data lake
• PMP

Key Responsibilities:

• Lead the planning, execution, and delivery of Data & Analytics projects ensuring quality delivery, within expected timelines & approved budgets from requirement definition through design, development, testing, rollout, and support.
• Oversee the requirements delivery, design, development, testing, and deployment of data architectures, databases, and analytics solutions leveraging Azure Cloud Data Lake, Databricks, and related tools.
• Create and maintain information technology project plans that communicate tasks, milestone dates, dependencies, critical paths, status, and resource allocation.
• Perform project planning and sizing activities, identify resource requirements, and oversee a cross functional team capable of producing specified deliverables.
• Collaborate with stakeholders, including business leaders, IT teams, and end-users, to define project requirements and deliverables.
• Manage project risks, issues, interdependencies, and dependencies, proactively addressing challenges to minimize impact.
• Manage a RAID log on an ongoing basis and facilitate risk mitigation, issue resolution and action planning to manage interdependencies.
• Ensure proper integration of Data & Analytics capabilities with other business applications and systems.
• Work closely with developers, consultants, and third-party vendors to implement system customizations and enhancements.
• Monitor project performance and report progress to senior management and stakeholders.
• Develop and maintain project documentation, including project plans, status reports, and post-implementation reviews.
• Develop and maintain a project budget sheet and track project financials at weekly and monthly intervals.
• Develop and execute a communications plan to identify and communicate major milestones and risks to achieving those milestones in a positive manner.
• Partner with Executive Stakeholders to build consensus.
• Work and associate with Quality Assurance Team to meet quality standards
• Work to ensure standard PMO processes are followed.

Required Qualifications & Experience:

• Bachelor s degree in Business, IT, Project Management, or a related field.
• 10+ years in IT project management with a focus on Data and Analytics projects.
• Prior experience leading end-to-end project management for data and analytics initiatives, including scoping, planning & analysis, execution (incl testing), monitoring, and closure.
• Prior experience creating work breakdown structures with milestones and dependencies so that the critical path is identified and tracked.
• Advanced problem solving and decision-making skills: Ability to analyze problems, identify solutions, and make sound decisions.
• Ability to inspire and motivate project teams, foster collaboration and resolve conflicts. Manage project team in a Matrix organization.
• Quality Assurance: Ensure that project deliverables meet quality standards and requirements.
• Budget Oversight: prior experience managing project budgets, ensuring efficient resource allocation while achieving desired outcomes.
• Ability to work in a fast-paced environment and manage multiple priorities.
• Advanced written and oral communication skills with proven ability to deliver clear messages, set expectations, and build relationships with all groups, even when delivering a tough message.
• Tools and Methodologies: Strong familiarity with Agile, Scrum, and Waterfall project management methodologies. Prior experience as a Scrum Master.
• Strong proficiency in MS Project and similar project management tools
• Strong proficiency in Microsoft Office Suite MS Office applications (Excel, Powerpoint).
• Proficiency with other agile work management tools such as JIRA etc.
• Experience developing useful project metrics and applying those metrics