Assistant Director, Data Products: Distribution & Marketing

Liberty Mutual Insurance•Boston, MA

About The Position

The USRM Data Office turns data into a competitive advantage. As a Data Product Owner you'll lead product teams that power Distribution & Marketing—setting vision and roadmap, translating business needs into engineering work, and delivering measurable outcomes on our Snowflake platform. You’ll ensure new data products meet organizational needs through continuous innovation and cross-functional leadership, independently managing complex, high-impact initiatives. About the team: The Data Office within Insights & Solutions at Liberty Mutual partner across USRM to define data strategy, deliver data products, and govern for quality, security, and compliance. Our performance-driven team is passionate about leveraging data to create value for customers and drive business results. This role may have in-office requirements depending on candidate location

Requirements

5+ years (ideally 5–7+) in data product management, analytics, data engineering, or a related role, including hands-on experience with data warehousing, ELT/ETL, and software design principles.
Demonstrated product ownership: roadmap development, prioritization, acceptance criteria, stakeholder management, and Agile delivery.
Experience influencing and aligning stakeholders in large, matrixed organizations; able to communicate recommendations to senior leaders and simplify technical topics for business and engineering audiences.
Strong problem-solving skills: decompose ambiguous problems, form hypotheses, run tests, and make data-driven decisions.
Proficiency in SQL and familiarity with data marts, data models and pipelines; Snowflake experience strongly preferred.
Knowledge of cloud data platforms and data governance, privacy, and security best practices.
Strong written and oral communication skills required
5-7+ years of experience working in coding and data solutions design principles, particularly in open source tools and technology

Nice To Haves

BI tools (e.g., Power BI, SAS); Python or other scripting experience is a plus.
Domain experience in Distribution & Marketing preferred.
Experience in communicating recommendations to senior business leaders preferred
MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred
BA/BS, or relevant work experience, in Computer Science or related field preferred

Responsibilities

Define and communicate the vision, strategy, and roadmap for Distribution & Marketing data products; align outcomes, KPIs, and success measures with stakeholders.
Translate business needs into epics and user stories with clear acceptance criteria; maintain and prioritize the backlog.
Lead one or more engineering squads through discovery, backlog grooming, and delivery with a strong definition of done in a matrixed environment.
Partner across stakeholders in business, data engineering, architecture, security, reporting and analytics to drive alignment, build AI ready data products for scale; evaluate build vs. buy and guide POCs.
Embed data governance, security, and compliance controls into product design and delivery.
Communicate status, risks, and trade-offs to business and technical stakeholders in plain language; make timely decisions to keep delivery on track.
Monitor product KPIs and operational health; reduce incidents and improve development cycle time through continuous improvement.
Manages moderately complex projects and recommends and implements new or enhanced data products to better meet stakeholder or customer needs by leading the development of project backlogs and plans, including milestones and dates, identification of parties and processes impacted by a data solution.
Ability to grasp new technologies needed to progress initiatives, while demonstrating an understanding of the use of data in solving a business use case.
Can create roadmaps for product delivery, innovate, and create new product ideas.
Able to prioritize efforts based on customer value.
Can communicate to a senior audience how technical designs meet business needs, and shows a command of industry trends and business processes.
Able to break down data issues and resolve them, by prototyping data solutions to meet the needs of both the organization and business customers.
Ability to think through proof-of-concept solutions and how they will be maintained, and can help assess whether proof-of-concepts are viable and scalable by partnering with IT.