Position: Big data Project manager
Company: Zoolatech
Experience required: 5y
English level: upper

A Big data Project manager  is part of a key team of Technology professionals managing technical teams that deliver significant business value to Nordstrom and its customers.

They have a strong sense of ownership, pride and accountability for capability, and are responsible for end-to-end quality of what is released.

This position interacts with people in both business and technical roles to create specifications and resolve issues with an eye toward continuous improvement.

This position works across departments and functional lines on a variety of programs that range in scope, risk and complexity, and success are measured in terms of Return on Investment (ROI), new capabilities, and benefit delivery.

RESPONSIBILITIES
A day in the life…

Manage products impacting enterprise and possess a track record of successful delivery preferably in multiple areas
Demonstrate a track record of using data and defining KPIs to measure success from both a business and technology perspective
Actively manage capability using data to drive decisions, and lead change and progress within a broader team
Create valid estimates of effort to complete engineering work streams and understand the relationship between technology and business, and how technology enables core capabilities and business unlocks
Possess a proven track record for making programmatic recommendations within technology that enable the business to achieve goals
Understand the relationship between technology and the business and how technology enables core capabilities and business unlocks

WE REQUIRE
Must have:
Familiarity with Python, Spark, Hive, Kafka and other Big Data technologies
5+ years of technical program management and delivery experience
BS in Computer science and analysis or related field
Has experience with SQL
Proficiency in Agile Product Methodologies
Strong proactive communication skills and an ability to work collaboratively
Experience in working with teams across different geographic locations
Strong technical acumen to think critically, converse and problem solve with engineering counterparts
System thinking and functional decomposition skills
Knowledge of requirements management tools (JIRA, Confluence)
Experience in identifying and resolving complex issues, with the ability to break down complex data situations into simple steps toward analysis and recommendations
Demonstrated negotiation and facilitation skills
Demonstrated ability to deliver large projects with multiple stakeholders, tight timelines and shifting priorities
Skilled in collecting business and systems requirements from internal and external customers, driving project schedules from design to release, communicating to stakeholders and executives, and managing the production launch

Nice to have:

2+ year of experience in productizing analytics development and building the data pipeline using ETL or data streaming
Program management in analytics, big data engineering, or software development, including big data infrastructure, and/or data architecture
Strong sense of ownership, urgency, and drive