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

Senior Project Manager