Senior Manager Data Platform Engineering

Associated Bank

Full-time - Senior

Credit Intermediation and Related Activities

About the position

The Senior Manager Data Platform Engineering at Associated Bank is responsible for leading teams focused on data engineering and cloud DevOps, with a strong emphasis on architecting DataOps. This role is critical for delivering DataOps and MLOps capabilities, enabling data engineers and scientists to work efficiently with reusable data platform components. The Senior Manager will establish the DevOps strategy for the enterprise data analytics platform and lead a team to ensure the platform's availability, observability, security, reliability, and performance.

Responsibilities

• Develop and execute the data platform DataOps technical strategy and roadmap of capabilities ensuring scalability, reliability, reusability, observability, security, and performance.
• Lead and mentor a team of data platform engineers and platform administrators, fostering a culture of innovation and agility.
• Design and implement scalable data infrastructure solutions that support both real-time and batch processing.
• Build MLOps capabilities for the enterprise to enable efficient, compliant, and reliable machine learning models into production.
• Stay abreast of the latest data innovation and support the team in regularly performing POVs to understand which capabilities can enable the enterprise to make more data-based decisions.
• Enable automation initiatives to streamline deployment, monitoring, and management processes using tools like Terraform.
• Oversee the day-to-day operations of our cloud data platform infrastructure, including monitoring, performance optimization, and cost management.
• Build and enable Disaster Recovery and Business Continuity Plan capabilities for the platform.
• Implement best practices for cloud data platform security and compliance, ensuring data protections and privacy.
• Act at the central point of contact for key vendor relationships.

Requirements

• Bachelor's Degree or equivalent combination of education and experience required in Computer Science, Information Technology, Engineering, or related field.
• 8+ years of experience building and leading high performing teams focused on DataOps, ML Ops, data engineering or related field.
• 3-5 years of experience with Cloud platforms (AWS, Azure, GCP, Snowflake).
• Hands on experience with Infrastructure-as-code (IaC) tools such as Terraform, Cloud Formation.
• Strong understanding of Dev-ops principles.
• Deep understanding of data management principles, data integration techniques, and ETL/ELT processes.

Nice-to-haves

• Master's Degree.
• 3-5 years experience with Snowflake and Python.
• Experience with DataOps tools and technologies (i.e. Airflow, Kafka, Spark, etc).
• Solid understanding of cloud security best practices, including network security, identity management, and data protection.
• Experience automating and monitoring machine learning workflows and model deployment techniques.
• Understanding of containerization technologies such as Docker or Kubernetes.

Benefits

• Retirement savings including both 401(k) and Pension plans.
• Paid time off to volunteer in your community.
• Opportunities to connect with others through our diversity-focused Colleague Resource Groups.
• Competitive salaries with professional development and advancement opportunities.
• Bonus benefits including well-being programs and incentives, parental leave, an employee stock purchase plan, military benefits and much more.
• Personal banking, loan, investment and insurance benefits.