Delivery Partner - Analytics

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 a related field.

15+ years of experience in data engineering, data warehousing, 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, MS Project, and Confluence