Senior Technical Program/Delivery Manager

What you ll do
Drive execution and delivery of multiple high-profile big data & analytics projects from start to finish
Own end-to-end solution delivery on the assigned program
Track and manage dependencies across multiple projects; lead escalation processes to make issues visible to stakeholders and leadership; drive resolution of dependency issues through the process.
Collaborate with Product Managers on project objectives, provide clear communications to teams and stakeholders on milestones, deliverables, and success criteria.
Develop trusted partnerships with stakeholders by collaborating and delivering on common goals. Ensure that projects and priorities support partner's strategic plans and each project is managed to ensure on-time implementation and flawless execution.
Provide timely updates on the status of projects to a cross-functional audience in multiple formats. Leverage Agile and SDLC methodologies to lead teams on a daily basis to the successful delivery of software development projects in accordance with the DTCI delivery framework and established best practices.
Create and maintain project documentation (primarily in Confluence) that is the single source of truth about a project to keep teams aligned and informed.

|| MUST HAVE then SHOULD HAVE in order of priority||
[ABSOLUTE MUST HAVE // Need example during screening of actual E2E projects that the candidate has delivered] Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions, industry best practices
[MUST HAVE] Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
[SHOULD HAVE] Familiar with multiple Big Data technology stacks (e.g. Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, etc)
[SHOULD HAVE] Aware of various tools, techniques, and hands-on knowledge on some of the tools, techniques (e.g. Python, Scala; data mining, predictive analytics, machine learning, etc)
[SHOULD HAVE] Experience with data visualization, aware of various tools, technologies
Good understanding of classical analytical methods; including relevant theories
Experience building broad, large-scale communications plans
Love for Data and taking chaos and turning it into something actionable
High sense of ownership and a focus on building fast without sacrificing quality
[MUST HAVE] Experience in Agile software development with expertise in Scrum methodology and practices.
[MUST HAVE] Working knowledge of modern program management, analysis, and reporting tools such as Wrike, Trello, Jira/Confluence