Technical Program Manager-Delivery (Data/Analytics) - Expert In Recruitment Solutions

" 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.

Basic Qualifications

|| 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