AVP Growth Analytics

Unum • Portland, ME

1d • $133,500 - $274,100 • Hybrid

About The Position

The Assistant Vice President of CX Growth Analytics is responsible for leading a technical team that drives Demand Generation revenue growth and optimization. This leader serves as a strategic partner to leaders across marketing, sales, finance and the Go-to-Market Value Stream. The Growth Analytics team delivers the measurement, attribution, funnel intelligence, data strategy, and MarTech data pipeline capabilities that fuel strategic growth by identifying and prioritizing target accounts, optimizing marketing-to-sales pipeline performance, and quantifying marketing attribution.

The leader must develop and grow a multidisciplinary team spanning Data Science, Data Engineering, Business Intelligence, and Marketing Analytics Operations. Success requires deep B2B marketing analytics expertise, strong technical leadership, and the ability to leverage advanced analytics, AI, automation, and emerging technologies to advance analytics delivery and improve business performance.

Requirements

• Bachelor’s degree required, Master’s preferred
• Degree or comparable experience in Computer Science, Mathematics, Data Science, Operations Research, or a related quantitative discipline.
• 10+ years of experience in Advanced Analytics or Technology, with a preference for experience in Marketing Analytics, Demand Generation Analytics, Sales Analytics, Revenue Operations, or a related function.
• Strong technical expertise in SQL, Python, statistical modeling, machine learning, data visualization, and software engineering fundamentals, including solution design and testing.
• Experience with large-scale data and cloud platforms such as Teradata, Snowflake, AWS, or GCP.
• Experience leading and developing multidisciplinary technical teams; and demonstrated ability to review code, troubleshoot technical issues, evaluate analytical methods, and guide model and automation development.
• Deep understanding of the B2B buying process; experience in finance or sales is a plus.
• Proven strategic leadership and stakeholder engagement across cross-functional environments; and demonstrated ability to align cross-functional teams with revenue goals and metrics.
• Ability to distill complex technical concepts into executive-level insights.

Nice To Haves

• Master’s preferred
• experience in finance or sales is a plus

Responsibilities

• Define and drive the growth analytics vision and strategy by advancing the data and analytical capabilities needed to identify and prioritize the addressable market, uncover growth opportunities, and optimize performance across the marketing-to-sales pipeline.
• Translate buyer engagement data, pipeline activity, and sales outcomes into actionable and measurable insights; identify success patterns and opportunities that improve demand generation performance and sales conversion.
• Establish shared goals, KPIs, and measurement frameworks across Marketing, Field Effectiveness, Sales, and Finance that provide consistent visibility into marketing-to-sales pipeline performance and enable optimization of buying group engagement, funnel progression, and conversion outcomes.
• Model opportunity mix, pipeline conversion, and close ratios needed by segment to achieve annual sales premium targets and translate those requirements into actionable business goals.
• Own and continuously advance the Marketing-to-Sales Pipeline attribution framework and methodologies, ensuring accurate measurement of influenced and incremental sales premium while defining and refining the engagement sufficiency thresholds associated with higher conversion and close rates than non-influenced opportunities.
• Advance funnel intelligence from a reporting capability to a core planning and decision-making tool that integrates sales seasonality, segment priorities, and funnel-stage performance into media investments, business prioritization, and growth execution.
• Assess the impact of AI-powered search, discovery, and zero-click behavior on buyer engagement and attribution; advance measurement approaches and analytical capabilities to adapt to changing digital consumption patterns.
• Lead the data strategy, data quality, and integration capabilities needed to produce consistent, trusted insights across the marketing-to-sales pipeline.
• Aggregate and enrich internal and third-party data to define the addressable market; and design data pipelines to identify and qualify engaged prospects and route them to the field in a measurable, actionable manner.
• Own data and MarTech vendor relationships and budgets; evaluate and enhance data, automation, MarTech, and analytics capabilities that improve productivity, measurement, and business performance.
• Lead the transformation of analytics delivery through AI, automation, agentic workflows, and self-service capabilities that improve scalability, productivity, and decision-making.
• Identify practical applications for LLMs, advanced modeling, machine learning, and automation, evaluating business value, technical feasibility, and governance requirements.
• Provide technical direction across SQL, Python, statistical modeling, machine learning, data engineering, and business intelligence.
• Review code and analytical methods, diagnose technical issues, and guide teams in developing reliable and maintainable solutions.
• Build and lead a high-performing team of data scientists, engineers, analysts, and marketing analytics operations specialists.
• Develop technical and business capabilities through coaching, continuous learning, and career development.
• Foster experimentation, accountability, collaboration, and strong business partnership.
• Manage portfolio intake, prioritization, and delivery using agile methods and measurable pipeline outcomes.
• May perform other duties as required.

Benefits

• 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
• healthcare benefits (health, vision, dental)
• insurance benefits (short & long-term disability)
• performance-based incentive plans
• paid time off
• a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager