Northwestern Mutual (NM) has been helping families and businesses achieve financial security for over 161 years. Through a distinctive, whole-picture planning approach including both insurance and investments, we empower people to be financially confident. We combine the expertise of our financial professionals with a personalized digital experience and leading-edge technology to best serve our clients.
Data is a critical driver of this approach, and a cornerstone for how NM engages with its customers. To help guide the effort, NM’s Chief Data Officer (CDO) is seeking a highly strategic, analytical, organized, and motivated Vice President, Core Data to lead two major data engineering areas: Analytics Data Engineering and Core Data Operations. By providing single threaded leadership across these two domains , you will help ensure a cohesive technical approach to data at NM.
You will also lead Core Data Operations within CDA. These systems ensure data flows through low latency operational systems, with high uptime requirements. These core data systems also expose data as APIs to customer facing applications.
You will also lead a team of Data Analytics Engineers and Machine Learning Engineers in NM’s newly formed Core Data & Analytics department (CDA). You will collaborate with Data Scientists, Analytics Analysts, and Business Analysts throughout the organization to help unlock the value of NM’s data through insights, predictive analytics, and operationalized data science. You will lead the development of NM’s Enterprise Data Warehouse, aggregating data from throughout the company into a single customer view. You will lead the development of a Business Intelligence (BI) function that provides self-service tooling that empowers the organization, while providing governed access to canonical data for analytics to ensure consistency of key data entities throughout the enterprise.
Your responsibilities include but are not limited to:
Lead multiple teams of Services Data Engineers focused on exposing data as performant and reliable APIs.
Hire and lead a team of data analytics engineers in the development of data pipelines that transform and aggregate data from throughout NM’s systems into an enterprise data warehouse
Lead the development of a data analytics ecosystem that incorporates both an EDW and Data Marts
Build and evolve NM’s data science/ML platforms, with a focus on rapid iteration and operational deployment of predictive models
Evaluate and 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 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 EDW and BI platform delivery milestones in 2020 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
1 2 + 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
Experience deploying, and operating machine learning pipelines
Experience working in a hybrid (on-prem and cloud) infrastructure environment
This job is not covered by the existing Collective Bargaining Agreement.
We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.