Data Engineering Manager, Data as a Service Center of Excellence (Hybrid)
Company: Securian Financial Group
Location: Minnetonka
Posted on: January 27, 2023
Job Description:
*At Securian Financial Groups internal position title is Data
Engineering Manager* Overview: - This position is part of the Data
as a Service Center of Excellence within the broader Enterprise
Data and Analytics (eDNA) office, a function dedicated to
enterprise-wide data and analytics at Securian. A leader in this
position will manage across multiple teams dedicated to areas such
as data, data domain/solution architecture, data domain/solution
engineering, AI/ML engineering, and data operations. This leader
should be able to build relationships with a diverse set of
internal stakeholders and external vendors, while managing
expectations and guiding team members towards continuous
improvement of engineering and delivering data products to the
different parts of the organization. Responsibilities include but
not limited to:
- Own and manage two or more focus areas and provide leadership
and direction to associates working in these domains. - For
example, machine learning engineering, data API development, data
operations, data catalog adoption, or data engineering for specific
programs. -
- Partners and works Enterprise Architecture and eDNA
architecture teams and oversees the engineering, design, build, and
maintenance of enterprise data assets adhering to architecture
standards.
- Owns and manages data domain/solution engineering teams and
activities, including data profiling and ingestion, data pipelines
for data transformations, and performance monitoring and fine
tuning of data pipelines.
- Support the creation of strategic data products in Cloud
environments and exploration of new technologies and
techniques.
- Build and own the automation and monitoring frameworks that
showcase reliable, accurate, easy-to-understand metrics and
operational KPIs for data pipeline quality and performance.
- Manages SLA / OLA and expectations for the data assets and
processes in production
- Recruits, motivates, and develops diverse team of data
engineering professionals to sustain a high-performing,
strategically focused workforce within the Data as a Service
COE.
- Accountable for the financial and human resources of the Data
as a Service COE, including, but not limited to, budgeting and
staffing of the function.
- Partner with other technical teams as necessary to ensure data
engineers have the tools and they need to efficiently deliver
business outcomes. Qualifications:
- 5+ years of work experience in data engineering, management
functions in Financial Services or equivalent field.
- Bachelor's degree in computer science or equivalent.
- Strong knowledge of data engineering and data management tools
and capabilities.
- Strong leadership skills, including the ability to create and
maintain a positive culture and drive results through others.
- Effective prioritization, including the ability to balance
precision / accuracy and resources / timelines within the bigger
picture.
- Strong organization, attention to detail, and project
management skills to ensure quality standards and deadlines are
met
- Collaborative, service, and consulting oriented style to add
value and meet needs of business partners
- Strong communication skills, both verbal and written, to
explain processes and results to both technical and non- technical
personnel
- Strong work ethic and commitment to bringing projects and
issues to closure
- Demonstrated innovation, automation, and change leadership
- Experience developing and leading high-performing, diverse
teams.
- Experience with cloud solutions, with AWS as a preferred cloud
experience.
- Demonstrated ability to execute on data engineering projects
e.g. manipulating data (extraction, cleansing, joining,
transforming etc.) from multiple sources, pipeline engineering and
producing integrated and consumable data to end users and
applications.
- Demonstrated experience managing and operationalizing
integrated and automated data engineering solutions. **This
position will be in a hybrid working arrangement** Physical job
requirements:
- Ability to utilize keyboard, mouse and computer for up to 8
hours per day
- Ability to work at least 40 hours per week Securian Financial
has been around for 140 years. We're committed to giving back to
our community, donating 15,000 employee volunteer hours this past
year. We also provide extensive resources to our employees for
professional development and growth and a number of diverse
professional and social opportunities throughout the company.
There's a reason our employees have voted us as a best place to
work year after year! In addition:
- - Generous paid time off. We want you to take time off for
whatever matters most to you!
- - Tuition reimbursement program. We value continuous learning
at Securian!
- - Company-funded pension plan as well as 401K retirement plan -
great resources to secure your financial future.
- - Continuous opportunities for new challenges.
- - Variety of health plan options as well as dental and vision
plans.
- - Paid maternity/paternity leaves. Securian Financial Group,
Inc. does not discriminate based on race, color, creed, religion,
national origin, sex, gender identity, sexual orientation, age,
marital or familial status, pregnancy, disability, genetic
information, political affiliation, veteran status, status in
regard to public assistance, status in a local human rights
commission, or any other status or condition protected by local,
state or federal law. If you are a job seeker with a disability and
require an accommodation to apply for one of our jobs, please
contact us by telephone 651-665-5522 (voice), 711
(telecommunications relay), or by email at
EmployeeRelations@securian.com.To view our privacy statement click
here To view our legal statement click here PandoLogic. Keywords:
Manager of Data Engineering, Location: Minnetonka, MN - 55345
Keywords: Securian Financial Group, Minnetonka , Data Engineering Manager, Data as a Service Center of Excellence (Hybrid), Executive , Minnetonka, Minnesota
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