Assistant Director, Data Analytics Engineer

Liberty Mutual•Boston, MA

33d

About The Position

We are seeking an Assistant Director, Data Solutions that will be part of the Data Office for Liberty Mutual's US Retail Markets. In this role, you will design, prototype, and deliver highâimpact data solutions that enable the enterprise to make better decisions. Working at a senior level, you'll lead complex technical work, mentor others, and partner with business stakeholders and IT to turn ambiguous problems into scalable data products and proven platforms. Why this role matters: Your technical leadership will help move early concepts into production-grade systems that are secure, governed, and built for long-term scale. You'll shape data strategy, drive customer-focused metrics, and influence how the organization uses data to create value.

Requirements

Extensive hands-on experience designing and delivering complex data solutions and prototypes.
Advanced programming skills across multiple languages and tools relevant to data engineering and analytics, specifically SAS, SQL, Python and Snowflake.
Deep understanding of BI tools, visualization, and user experience best practices.
Proven experience with metadata, lineage, governance, compliance, and data security principles.
Comfortable working across business and IT boundaries to productionize and scale systems.
Strong Agile experience, including planning, delivering, and setting expectations for complex deliverables.
Ability to influence strategy and priorities, and to mentor and guide junior staff.
Strong written and oral communication skills required.
5-7+ years experience in coding for data management, data warehousing, or other data environments, including scripting languages (SQL, SAS, Python, Snowflake).
5-7+ years experience as developer with top quadrant Business Intelligence tools, PowerBI, Tableau, MicroStrategy.

Nice To Haves

Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred.
Master`s in same or related disciplines strongly preferred.

Responsibilities

Independently prototype and develop complex data solutions and proofs of concept that meet business needs.
Translate vague ideas or problems into a clear data product strategy and roadmap.
Design iterative solutions and perform testing to ensure technical and functional specifications are met.
Build for scale: assess prototype viability and collaborate with IT to productionize and support robust systems.
Champion data quality, metadata, lineage, business definitions, compliance, and data security across projects.
Leverage advanced knowledge of multiple coding languages to implement solutions and troubleshoot multiâtier, multiâplatform environments.
Create self-service data experiences, focusing on visualization, user experience, and enabling business users.
Define and prioritize efforts based on customer value and measurable business metrics.
Act as a technical leader and mentor; provide advice to more junior team members and other functional areas.
Use Agile techniques to set expectations and deliverables for highâcomplexity work.