Director of Data Platform Strategy & Innovation

American Family Insurance; Boston (MA); On-site; USD 150,000 - 255,000; Full time

Job summary

American Family Insurance in Boston, MA, is seeking a strategic leader to oversee data and data engineering environments, shaping the division's technology strategy and ensuring strong linkages with other corporate entities. You will collaborate with senior leadership, drive the data platform roadmap, and manage a portfolio of data technology initiatives, guiding teams to deliver scalable solutions.

A track record of leading complex data projects, experience with big data and ML tools, and

Qualifications

• Experience leading data platform strategy and architecture.
• Experience interfacing with business clients and IT stakeholders.
• Proven track record delivering data technology solutions.
• Knowledge of big data and machine learning tools.
• Ability to manage diverse data teams and projects.

Responsibilities

• Drive strategy, architecture, and deployment of data platforms.
• Set strategy for current and future business systems needs.
• Direct portfolio of technology work for the division.
• Oversee design, development and implementation of data solutions.
• Research current trends in data technology and recommend directions.
• Establish divisional standards for data tools and platforms.
• Foster a collaborative, performance-driven environment.
• Contribute to leadership with alignment to mission and values.

Skills

Data architecture

Leadership

Stakeholder engagement

Data governance

Big data

Job description

American Family Insurance in Boston, MA, is seeking a strategic leader to oversee data and data engineering environments, shaping the division's technology strategy and ensuring strong linkages with other corporate entities. You will collaborate with senior leadership, drive the data platform roadmap, and manage a portfolio of data technology initiatives, guiding teams to deliver scalable solutions.

A track record of leading complex data projects, experience with big data and ML tools, and