AVP Growth Analytics

Unum•Portland, ME

3d•$133,500 - $274,100

About The Position

The Assistant Vice President of CX Growth Analytics leads a technical team responsible for driving Demand Generation revenue growth and optimization. The role partners strategically with leaders across marketing, sales, finance, and the Go-to-Market Value Stream. The Growth Analytics team provides measurement, attribution, funnel intelligence, data strategy, and MarTech data pipeline capabilities to identify and prioritize target accounts, optimize marketing-to-sales pipeline performance, and quantify marketing attribution. The leader develops a multidisciplinary team spanning Data Science, Data Engineering, Business Intelligence, and Marketing Analytics Operations. The role requires B2B marketing analytics expertise, technical leadership, and the ability to apply advanced analytics, AI, automation, and emerging technologies to improve analytics delivery and business performance. The position defines growth analytics strategy and measurement frameworks; advances funnel intelligence and attribution; leads data strategy, quality, integration, and vendor relationships; and directs the use of AI, advanced analytics, and technical capabilities. It also builds and develops the team, manages portfolio priorities and delivery using agile methods, and may perform other duties as required.

Requirements

Bachelor’s degree required.
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.
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.
Ability to review code, troubleshoot technical issues, evaluate analytical methods, and guide model and automation development.
Deep understanding of the B2B buying process.
Proven strategic leadership and stakeholder engagement across cross-functional environments, with the ability to align teams around revenue goals and metrics.
Ability to distill complex technical concepts into executive-level insights.

Nice To Haves

Master’s degree preferred.
Experience in Marketing Analytics, Demand Generation Analytics, Sales Analytics, Revenue Operations, or a related function preferred.
Experience in finance or sales is a plus.

Responsibilities

Define and drive the growth analytics vision and strategy, advancing capabilities to identify and prioritize the addressable market, uncover growth opportunities, and optimize marketing-to-sales pipeline performance.
Translate buyer engagement data, pipeline activity, and sales outcomes into actionable insights; identify success patterns and opportunities to improve demand generation and sales conversion.
Establish shared goals, KPIs, and measurement frameworks across Marketing, Field Effectiveness, Sales, and Finance to provide visibility into pipeline performance and enable optimization of buying group engagement, funnel progression, and conversion outcomes.
Model opportunity mix, pipeline conversion, and close ratios by segment to support annual sales premium targets, and translate requirements into business goals.
Own and advance the Marketing-to-Sales Pipeline attribution framework and methodologies, measure influenced and incremental sales premium, and define engagement sufficiency thresholds associated with stronger conversion and close rates.
Advance funnel intelligence as a 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, and advance measurement approaches for changing digital consumption patterns.
Lead data strategy, data quality, and integration capabilities that produce consistent, trusted pipeline insights.
Aggregate and enrich internal and third-party data to define the addressable market; design pipelines to identify and qualify engaged prospects and route them to the field measurably and actionably.
Own data and MarTech vendor relationships and budgets; evaluate and enhance data, automation, MarTech, and analytics capabilities.
Lead analytics delivery transformation through AI, automation, agentic workflows, and self-service capabilities.
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, maintainable solutions.
Build and lead a high-performing team of data scientists, engineers, analysts, and marketing analytics operations specialists.
Develop team members’ 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.
Perform other duties as required.

Benefits

Health, vision, and dental benefits
Short- and long-term disability benefits
Performance-based incentive plans
Paid time off, including paid time to volunteer
401(k) employer contribution, described as up to 9.5% in the posting
Mental health support
Career advancement opportunities
Student loan repayment options
Tuition reimbursement
Flexible work environments
401(k) retirement plan with employer match up to 5% and an additional 4.5% contribution whether or not the employee contributes