Share this Job

Director of Data Science | Hybrid

Job Level:  Management

Minneapolis, MN, US, 55416-1297

Due Date:  N/A
Area of Expertise:  Finance & Accounting
Unit:  Allianz US Life
Job Type:  Full-Time
Remote Job:  Not applicable
Employment Type:  Permanent
ID:  1368

At Allianz Life, we are driven by our mission – we secure your future – and by our common goal of caring for tomorrow. We care for our employees by promoting an inclusive culture where everyone has the opportunity to grow and be rewarded for their success. We care for our customers by creating new products that help them protect their families and pursue their retirement goals. We care for our community by giving time, resources, and donations. And we care for the future by supporting sustainability, protecting the local environment, and promoting societal equity.


What you do:

The Director of Data Science is a critical position responsible for the development and execution of data science/AI strategies.  This position requires strategic thinking, cross-functional leadership and influence across the organization, as well as a very strong technical grasp of applied data science, statistics and decision science to develop and deliver solutions with innovation, competitive advantage and growth.  This candidate will develop people, form strong working partnerships with business and technology leaders, plan and execute analytical roadmaps, formulate data science strategies for solving business problems, and develop strategies to scale the impact of data.  The Director of Data Science will champion data-based decision making and will seek to evolve, mature, and improve the organization’s data science/AI capabilities. 

  • Provide strategic direction and leadership to a team of Data Scientists and Machine Learning Engineers. Develop and maintain an organization of high performing people through effective hiring, coaching, and performance/talent management. Foster a collaborative, success-oriented team environment where resources are empowered and accountable.
  • Oversee and lead scoping, development, delivery and management of solutions to leverage data science across the enterprise.  Ensure data science activities are creating value for the business.
  • Collaboratively partner with Senior Leaders to optimize business decisions, leveraging intelligence and thoughtful use of data.
  • Interface and work cross-functionally to drive a greater understanding of our business opportunities and the impact that is possible with data science; facilitate seamless execution and implementation of data science related initiatives.  Work with technology partners on tools needed for the data science environment, as well as the implementation of algorithms into business processes.
  • Oversee the design and build of sustainable data science systems to deliver automated solutions to key stakeholders.
  • Lead discussions with business stakeholders to understand customer needs and deliver solutions in alignment with business priorities.
  • Collect and categorize a backlog of inquiries from business stakeholders.  Leave efforts in value targeting, business case development, and backlog grooming.
  • Contribute to ongoing expansion of data science expertise and maturity by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross-functionally to develop standardized/automated solutions and adopt best practices.
  • Lead a cross-functional committee focused on improving data science and analytics capabilities.
  • Measures and quantifies the business impact of DS/ML solutions. Identifies opportunities for continuous improvement and to increase team effectiveness. Leads initiatives to achieve the improvements.
  • Communicate analytic concepts in an easy to understand real world business context to all levels of employees.
  • Lead technical efforts applying scientific methods/rigor to produce meaningful and value-added data insights to solve complex problems.


What you bring:


  • 5+ years of relevant experience in data science, including building and productionizing machine learning models
  • Master’s degree in a highly quantitative field (e.g., Statistics, Math, Physics, etc.)
  • 3+ years of experience leading technical teams (e.g., Data Science, Analytics, etc.)
  • Experience working with Python, R, SQL, and data visualization tools.


  • 7+ years of relevant experience in data science, including building and productionizing machine learning models
  • Ph.D. in a highly quantitative field (e.g., Statistics, Math, Physics, etc.)
  • 5+ years of experience leading technical teams (e.g., Data Science, Analytics, etc.).
  • 5+ years of industry experience


What we offer:

At Allianz Life, we’re proud to provide a benefits package that supports the True Balance of our employees and their families. We offer a choice of comprehensive medical and dental plan options, a generous time off plan and an outstanding 401(k) company match. Plus, our employees enjoy an award-winning campus with an array of discounted amenities, including an onsite health center, child development center, fitness facility, convenience store and two cafeterias. Our employees and leaders take an active role in shaping our culture through our Employee Resource Groups, whose activities and advocacy contribute to an environment that welcomes, includes and celebrates diversity. Our generous benefits, campus amenities and inclusive, engaged culture are among the many reasons we’re routinely recognized as a top workplace employer.


Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.  We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.


Join us. Let's care for tomorrow.