Enterprise Data Engagement & Communications Leader

Description

Engagement & Communications Leader

 

Our Department: Introduction to Enterprise Data & Data Science (ED&DS)  

 

As we look toward the future, it's clear that data will be the cornerstone of our industry. The market leaders will be those who can manage and utilize data at scale—reliably, securely, and intelligently. Capitalizing on data is a strategic imperative for all business units and functions at Liberty Mutual. The Enterprise Data & Data Science (ED&DS) department’s purpose is to optimize the return on our data and data science investments through common capabilities and services. We achieve this through a federated operating model supporting over 1,000 Data and Data Science professionals. In this role, you will join a team of Data and Data Science experts in ED&DS, focusing on advancing talent and governance maturity across these professionals through unified strategies, training programs, and talent practices. 

 

Our Team: How You’ll Contribute 

 

Help us prepare for this future by joining the strategy team within the Enterprise Data & Data Science (ED&DS) department. In this position, you’ll collaborate across teams to ensure we become a top destination for data talent, promoting career development and community engagement to cultivate high-performing data professionals. This role demands strategic thinking, deep collaboration, and a willingness to navigate ambiguity to build skills for the future within the data community at Liberty. 

  

Responsibilities: What You’ll Do 

 

• Project & Portfolio Execution: Lead and coordinate execution across multiple strategic initiatives including Town Halls, upskilling programs, community engagement activities and talent practices. Act as a central point of accountability to ensure timely delivery and alignment with team priorities. 

 

• Communications Enablement: Maintain key communications channels such as newsletters, scorecards, and internal sites (myLiberty). Manage a communication calendar and toolbox to drive alignment of portfolio messaging across the ED&DS team. Support executive communications preparation as needed, focusing on clear and timely messaging aligned to business needs. 

 

• Community Engagement: Help build a vibrant and connected data community by coordinating and scaling events such as Town Halls, managing collaboration platforms like Teams, and executing upskilling initiatives. Continuously evaluate satisfaction and engagement drivers (through surveys, stakeholder feedback, adoption measures, etc.) to ensure our efforts deliver meaningful impact and strengthen community bonds. 

 

What Success Looks Like: 

 

• Consistent, on-time delivery of talent and community engagement initiatives with measurable impact. 

 

• High adoption and engagement across communications platforms and training programs. 

 

• Clear, proactive written and verbal communication drives alignment and momentum across diverse stakeholder groups. 

 

• Ability to navigate ambiguity and adapt priorities smoothly in a dynamic environment. 

 

• Excellent project and stakeholder management, ensuring we are closely aligned with key stakeholders and are driving cross-functional collaboration effectively and efficiently. 

 

• Experience working in or closely with data and data science personas (e.g., Data Strategist, Data Steward, Data Product Owner, Data Engineer, etc.), with a solid understanding of how they work and what they need to be successful. 

 

This is a range posting. Candidates will be considered at the appropriate level based on experience and qualifications

 

• Senior Business Analyst : $95,800- $135,500. Annual FTO days (Flexible Time Off): 20
• Principal Business Analyst I: $108,000 - $153,000. Annual FTO days (Flexible Time Off): 20

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
• 5-7+ years of experience working as a data persona or closely partnering with data personas (e.g., data strategist, data product owner