AVP, CX Growth Analytics

Job Posting End Date: June 11

When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: 

• Award-winning culture 

• Inclusion and diversity as a priority 

• Performance Based Incentive Plans

• Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability 

• Generous PTO (including paid time to volunteer!) 

• Up to 9.5% 401(k) employer contribution 

• Mental health support 

• Career advancement opportunities 

• Student loan repayment options 

• Tuition reimbursement

• Flexible work environments 

*All the benefits listed above are subject to the terms of their individual Plans.

And that’s just the beginning…  

With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! 

General Summary:

The Assistant Vice President of CX Growth Analytics is responsible for leading a technical team that drive Demand Generation revenue growth and enables data-driven decision-making. The Growth Analytics team delivers analytics that fuel strategic growth with new and inforce customers, from target account identification, prioritization and qualification, to performance analysis, reporting and optimization. This requires building consistent measurement frameworks that align with financial reporting methods, managing data strategy, and advancing our MarTech data pipelines.

The leader must develop and grow a multidisciplinary team—including Data Science, Data Engineering, Business Intelligence, and Marketing Analytics Operations. Expertise is required in building a B2B ecosystem of advanced analytics, data enablement, marketing technology tools, and process automation, to deliver performance measurement, and drive optimization and process efficiencies.

Principal Duties and Responsibilities

• Translate buyer engagement data into actionable and measurable outcomes; identify success patterns to help the leadership team optimize sales.
  • Optimize how buying groups are managed, measured, and monetized. Provide advanced analytical generation processes, including engagement thresholds, account reach, quote rates, engagement levels, conversion rates, close ratios, and incremental premium delivery insights that provide visibility and strategic guidance across buyer engagement (buying group engagement mix, frequency and compositions), and sales outcomes to support strategic decisions.
  • Evaluate the effectiveness of demand generation process, including engagement thresholds, account reach, quote rates, engagement levels, conversion rates, close rations, and incremental premium delivery.
  • Foster alignment across Marketing, Sales, and Finance to ensure demand generation capabilities scale with business growth.
  • Stay abreast of emerging trends in B2B marketing and data science; translate market developments into strategic insights.
• Work cross-functionally with leaders to establish shared goals and KPIs, and a consistent measurement strategy across the CXO (Marketing and Field Effectiveness), Sales and Finance; define metrics aligned to organizational goals.
  • Model opportunity mix and close ratios needed by segment in support of annual sales premium targets and translate these into quarterly goals.
  • Support performance review cadences such as monthly internal performance reviews, quarterly business reviews, and strategic planning sessions.
  • Develop and maintain automated reports and dashboards for various stakeholders
• Data Strategy & Infrastructure Stewardship
  • Lead the design and execution of a data and measurement strategy to enable cross-functional alignment and consistency.
  • Align go-to-market functions through shared insights, integrated processes, and consistent data standards.
  • Identify and implement process improvements and enhancements to data flow.
• Marketing Analytics Operations:
  • Aggregate and enrich third party and internal data to identify addressable market,