As a Senior Project Manager with a strong Data Analytics background, you will be responsible for leading large-scale analytics and data-driven transformation projects. Your role will involve managing cross-functional teams, collaborating with data engineering, BI, and data science stakeholders, and delivering complex analytics programs on time and within scope. You will need to balance strategic thinking, hands-on project execution, and stakeholder management to translate business objectives into actionable analytics roadmaps. **Key Responsibilities:**
Lead end-to-end delivery of data analytics, BI, and data platform projects across multiple business units. - Define project scope, goals, timelines, budgets, and success metrics aligned with the business strategy. - Collaborate with data engineers, data scientists, analysts, architects, and business stakeholders to ensure successful delivery. - Manage Agile, Scrum, SAFe, and Waterfall project methodologies as appropriate. - Drive requirements gathering, data dependency planning, and milestone tracking. - Identify and mitigate project risks related to data quality, integration, governance, and security. - Oversee vendor and partner engagements, including contract and performance management. - Ensure compliance with data governance, privacy, and regulatory standards. - Provide executive-level reporting, dashboards, and status updates. - Mentor junior project managers and contribute to PMO best practices. **Required Skills and Qualifications:**
10+ years of experience in Project or Program Management with at least 5+ years in Data Analytics or Data Platforms. - Strong understanding of data warehousing, data lakes, BI and reporting tools (e.g., Power BI, Tableau, Looker), ETL and ELT pipelines, data quality, lineage, and governance concepts. - Proven experience in managing large and complex analytics programs. - Expertise in Agile and Waterfall project management methodologies. - Excellent stakeholder communication and leadership skills. - Strong problem-solving and decision-making abilities. **Key Skills:**
Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala
As an experienced Senior Project Manager with a Data Analytics background, you are expected to fulfill these responsibilities and possess the required skills and qualifications to drive successful analytics projects within the organization. As a Senior Project Manager with a strong Data Analytics background, you will be responsible for leading large-scale analytics and data-driven transformation projects. Your role will involve managing cross-functional teams, collaborating with data engineering, BI, and data science stakeholders, and delivering complex analytics programs on time and within scope. You will need to balance strategic thinking, hands-on project execution, and stakeholder management to translate business objectives into actionable analytics roadmaps. **Key Responsibilities:**
Lead end-to-end delivery of data analytics, BI, and data platform projects across multiple business units. - Define project scope, goals, timelines, budgets, and success metrics aligned with the business strategy. - Collaborate with data engineers, data scientists, analysts, architects, and business stakeholders to ensure successful delivery. - Manage Agile, Scrum, SAFe, and Waterfall project methodologies as appropriate. - Drive requirements gathering, data dependency planning, and milestone tracking. - Identify and mitigate project risks related to data quality, integration, governance, and security. - Oversee vendor and partner engagements, including contract and performance management. - Ensure compliance with data governance, privacy, and regulatory standards. - Provide executive-level reporting, dashboards, and status updates. - Mentor junior project managers and contribute to PMO best practices. **Required Skills and Qualifications:**
10+ years of experience in Project or Program Management with at least 5+ years in Data Analytics or Data Platforms. - Strong understanding of data warehousing, data lakes, BI and reporting tools (e.g., Power BI, Tableau, Looker), ETL and ELT pipelines, data quality, lineage, and governance concepts. - Proven experience in managing large and complex analytics programs. - Expertise in Agile and Waterfall project management methodologies. - Excellent stakeholder communication and leadership skills. - Strong problem-solving and decision-making abilities. **Key Skills:**
Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala
As an experienced Senior Project Manager with a Data Analytics background, you are expected to fulfill these responsibilities and possess the required skills and qualifications to drive successful analytics projects within the organization.
