Director Big Data Services

About Lumen

Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.

 

We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.

The Role

The Director of Big Data Services will oversee internal and external teams of data scientists, data analysts, data engineers and broader in analyzing and deriving insights from both structured and unstructured data for client data science engagements.  They will also lead teams building and validating predictive models using techniques from statistics/machine learning and computational science. This leader will be skilled at translating complex technical concepts into actionable tactical and strategic insights and communicating them persuasively to our internal teams and managers as well as clients and partners.  As a strategic and tactical leader, this role will impact multiple, technically complex, mission-critical, and/or high-profile initiatives simultaneously and must possess executive leadership to oversee business critical engagements.  They will lead the coordination of the activities of multiple departments and large programs with responsibility of the long-term analytics roadmap, metrics definition, and results; including costs, methods, staffing, and introduction of strategic platforms.

Work Location

This position has been designated as fully remote in the U.S.

The Main Responsibilities

• Provides leadership, direction, motivation, and supervision of direct and indirect reports to include development of productive and efficient goals, reviewing performance and providing feedback and coaching as well as developing individuals.
• This leader is responsible and accountable for getting the requirements from business owners, filling in the gaps where the requirements are missing or not clear.
• Working with architecture and end-to-end systems engineering to arrive at a solution that is fully compatible with architecture goals and existing system.
• Work with release planning and project management to put together a fully staffed, funded, and complete software development plan.
• Demonstrated ability to recruit and lead highly functional technical teams.
• Augment development staff from Lumen India and external partners where needed.
• Evaluate and adopt appropriate open source and commercial applications where appropriate.
• Manage day-to-day software development teams and anticipate and unblock any roadblocks that might come up.
• Leverage and apply Agile and DevOps principles to include continuous integration and continuous delivery so that all automatic unit testing, code review, and security check are done prior to code commit and automatic build verification and regression testing are done post commit.

What We Look For in a Candidate

• BS Degree and 10+ years of architecture experience with data integration and data warehousing; 3+ years of big data platform architecture.  MS or higher degree preferred.
• Experience in Statistics/Econometrics/Machine Learning or other quantitative discipline.
• Strong background in Big Data and Advanced Predictive Analytics including an exposure to areas such as Artificial Intelligence, Deep Learning, Intelligent Bots, Reinforcement Learning, Neural Networks.
• 3-5 years hands-on experience with building solutions with Hadoop MapReduce and/or Spark, Streaming systems (Spark streaming, Apache Flink, Kafka).
• Experience with continuous integration, test-driven/behavior-driven development, and agile, scrum development methodologies.
• Experience working in an Agile development methodology in Big Data and Data Warehouse environments.
• Experience with managed services and on-shore / off-shore development.

Compensation

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.