Introduction to the Enterprise Data Strategy Team
At Liberty Mutual, we are on a data journey. We have been hard at work assessing our data capabilities across business units and building a perspective on where enterprise data investments could help us be more efficient or effective. What we learned is that winning with data is a strategic imperative for all business units and departments to compete; however, data teams have been working independently to elevate their game to a "Foundational Level" and beyond with varying success. Building "Enterprise Level" capabilities would add value in two ways: (1) by leveraging enterprise context and expertise to drive efficiency and effectiveness across all business units and (2) by potentially unlocking new value by executing select use cases at the enterprise level. Given our learnings, we are excited to announce the creation of an Enterprise Data Strategy Team. The focus of this team, in tight partnership with our enterprise data technology partners, will be on maturing our data fundamentals (especially in the areas of data strategy, data governance, and data talent) and partnering with our Business Unit data teams and others to drive progress on Enterprise use cases.
Job Description: What would you do?
As we look outward and forward, we can see that the future of our industry is data. The winners in the marketplace will be those who can harness data at scale using advanced capabilities to unlock value. Help us great ready for this future by joining the company's first ever Enterprise Data Strategy Team to guide the right investments in data to service the firm. In this position, y ou will work across teams to ensure we are a top talent destination that promotes career pathing, development, and meaningful work to produce consistently strong performing data personas . This role will require strategic thinking, deep collaboration, and an excitement to navigate ambiguity to build new strengths at Liberty.
Responsibilities: What would you accomplish ?

• Data Talent - Captain of the Data Talent workstream to set the standards for " what good looks like " for key data roles and job families. Ensure appropriate usage by the business units. Understand talent gaps and work to close them through training, hiring guidance, etc. Manage some talent practices, such as calibrations or deep dives into talent and compensation topics when warranted .
• Data Training - Work with data training subject matter experts across the operation to align towards a common training portal and experience, prioritize needs, and share practices. Where common training needs exist , work with business units to create, and onboard training assets; manage a library of da ta training .
• Data Upskilling - Be out in the organization to find and track employees who have a stated interest or potential in data work, and then build an upskilling plan to develop those employees. Seek scale by creating a target training journey for each key role .
• Data Culture & Community - Build our data community through forums, activities, and communications (e.g., blogs, feature stories for newsletters, etc.). Where change management is warranted at the enterprise level (e.g., new enterprise tool), takes lead in managing through the cycle, coordinating with experts as appropriate .
• Data Communication - Maintain and refresh a communication toolbox to help leaders message our Enterprise data progress (e.g., walking decks, talking points, blogs, feature stories for newsletters, etc.). Help coordinate and build materials for senior leader forums to inform, align, and make decisions.

Skills: What will help your success?

• Be c omfortable with ambiguity and can motivate teams to embrace change
• Be a ble to adapt messaging of complex topics to audiences
• Have e xperience with coaching and developing peers .
• Have e xperience with developing and coordinating training for a large organization .
• There will be non-technical candidates who have good potential in this position that may not have technical degrees or backgrounds in technology or mathematics.

Qualifications

• Strong written and oral communication skills required
• Experience in communicating recommendations to senior business leaders preferred
• BA/BS, or relevant work experience, in Computer Science or related field preferred
• MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred
• 10+ years of experience working in coding methodologies and design principles, particularly in open source tools and technology

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.
Liberty Mutual has proudly been recognized as a "Great Place to Work" by Great Place to Work® US for the past several years. We were also selected as one of the "100 Best Places to Work in IT" on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates-as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.