Job Description

Your responsibilities include but are not limited to:  

·         Help create a cohesive culture that embodies our department’s core values: Accountability, Grit, Impact, Integrity, Teamwork

·         Lead multiple teams of Services Data Engineers focused on exposing data as performant and reliable APIs. 

·         Help hire and lead teams of engineers in the development of data pipelines that facilitate the transformation and aggregation of data from throughout NM’s systems into an enterprise data lake 

·         Build and evolve NM’s data science/ML platforms, with a focus on rapid iteration and operational deployment of predictive models 

·         Evaluate and help make the call on technical solutions, architecture, and platforms 

·         Accelerate NM’s ability to ingest and aggregate data from external data sources, consolidate with internal data, and leverage to drive insights 

·         Help architect BI solutions that accommodate a de-centralized business analytics organization. 

·         Develop an organizational structure and operating model in which data engineers thrive in cross-functional teams (with analytics engineers, analysts, data scientists, etc) that are embedded and dedicated to business and product areas 

·         In collaboration with the CDO, lead strategic planning, roadmap development, and operational planning for your teams 

You will know you are successful if…  

·         The Operations and Analytics parts of NM’s data technology ecosystem work together in a cohesive and harmonious way 

·         NM’s data analytics platforms make step function advancements under your leadership, with major delivery milestones in 2021 and beyond 

·         The value of NM’s data is unlocked through both descriptive enterprise reporting and operationalized predictive analytics 

·         You successfully collaborate with your peers to deliver solutions that successfully combine new platforms and older systems 

·         Your stakeholders are delighted by the excellence, impact, and delivery-focused mindset of your team 

Required Skills:  

·         12+?years in Data and/or Services Engineering, with 5+ years leading teams 

·         Deep public cloud experience (AWS preferred) is a must 

·         Deep experience building, scaling and deploying high traffic APIs 

·         Expert in leading teams that implement both streaming (e.g. Kafka, Kinesis) and batch (e.g. Airflow, AWS Glu, Informatica) data transport technologies 

·         Deep expertise in Cloud Data Warehouse technology (e.g. Redshift, Snowflake) and/or managing an enterprise data lake 

·         Expert in implementing an operating Business Intelligence platform solution and creating self-service solutions with robust metadata layers that empower a dispersed community of business analysts 

·         Performs work independently as well as a team influencer and team contributor 

·         Exhibits superior analytical, evaluative, and problem-solving abilities 

·         Very comfortable with ambiguity and enjoys creating structure out of chaos 

·         Experience with Agile/Scrum development methodology 

·         Delivers excellent verbal and written communication to include expression of facts and ideas, interpretation of information and the ability to make clear and convincing presentation 

·         Ability to navigate the levels of audiences and articulate ideas to both technical and non-technical audiences 

·         Sets and manage priorities judiciously 

·         Maintains strong self-motivation and team motivation through high degrees of collaboration 

Desired Background:  

·         Experience deploying, and operating machine learning pipelines 

·         Experience working in a hybrid (on-prem and cloud) infrastructure environment