Data Solutions Implementation Partner

As a Delivery Partner, you will play a crucial role in leading and overseeing the successful delivery of analytics projects. Your strong background in data analytics and excellent project management skills will be key in ensuring projects are completed on time, within budget, and to the required quality standards. Your ability to collaborate effectively with cross-functional teams will be essential for project success. **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. As a Delivery Partner, you will play a crucial role in leading and overseeing the successful delivery of analytics projects. Your strong background in data analytics and excellent project management skills will be key in ensuring projects are completed on time, within budget, and to the required quality standards. Your ability to collaborate effectively with cross-functional teams will be essential for project success. **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