Senior Project Manager

Job Summary:

• We are seeking a highly motivated and experienced Delivery Partner to lead and oversee the successful delivery of analytics projects. The ideal candidate will possess a strong background in data analytics, excellent project management skills, and a proven ability to collaborate effectively with cross-functional teams. You will be responsible for ensuring projects are delivered on time, within budget, and to the required quality standards. This role requires a detail-oriented individual with excellent communication and problem-solving skills, and a passion for leveraging data to drive business value.

Responsibilities:

• Project Leadership:Lead and manage the full lifecycle of analytics projects, from initiation to deployment.
• Stakeholder Management:Collaborate with business stakeholders, product owners, and engineering teams to define project scope, requirements, and deliverables.
• Technical Guidance:Provide technical leadership and guidance to the development team, ensuring adherence to architectural standards and best practices.
• Data Architecture & Design:Contribute to data architecture design, data modeling (logical and physical), and the development of data integration strategies.
• Risk Management:Identify, assess, and mitigate project risks and issues, escalating as necessary
• Resource Management:Manage project resources, including developers, data engineers, and business analysts, ensuring optimal allocation and utilization.
• Quality Assurance:Implement and maintain quality assurance processes to ensure data accuracy, integrity, and reliability.
• Communication & Reporting:Provide regular project status updates to stakeholders, including progress, risks, and issues.
• Process Improvement:Identify and implement process improvements to enhance project delivery efficiency and effectiveness.
• Vendor Management:Manage relationships with external vendors and partners, ensuring deliverables meet expectations and contractual obligations.

Qualifications:

• Bachelors degree in computer science, Engineering, or are lated field.15+ years of experience in data engineering, data ware housing, business intelligence, or a related area. Proven experience in managing complex data-related projects using Agile methodologies. Strong understanding of data warehousing concepts, data modeling techniques, and ETL processes. Hands-on experience with cloud platforms such as AWS, Azure, or Snowflake.
• Proficiency in SQL and experience with databases such as Teradata, Oracle, and SQL Server.
• Experience with data visualization tools such as Tableau or Power BI. Excellent communication, interpersonal, and leadership skills. Ability to work effectively in a matrix environment. Strong problem-solving and analytical skills. Experience with project management tools such as JIRA, MSProject, and Confluence