AVP Growth Analytics
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 and grows a multidisciplinary team spanning Data Science, Data Engineering, Business Intelligence, and Marketing Analytics Operations. Success 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 advances growth analytics strategy and measurement, leads data strategy and marketing analytics operations, provides technical direction for analytics and data capabilities, and builds a high-performing team. The role 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.
- 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 degree preferred.
- Experience in Marketing Analytics, Demand Generation Analytics, Sales Analytics, Revenue Operations, or a related function is 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 performance and sales conversion.
- Establish shared goals, KPIs, and measurement frameworks across Marketing, Field Effectiveness, Sales, and Finance to track pipeline performance and optimize 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 actionable business goals.
- Own and advance the Marketing-to-Sales Pipeline attribution framework and methodologies, measuring influenced and incremental sales premium and defining engagement sufficiency thresholds associated with improved conversion and close rates.
- Advance funnel intelligence into a planning and decision-making tool that incorporates 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 develop measurement approaches for changing digital consumption patterns.
- Lead data strategy, data quality, and integration capabilities that 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 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.
- Transform analytics delivery using AI, automation, agentic workflows, and self-service capabilities to 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, 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
- Award-winning culture
- Inclusion and diversity as a priority
- Performance-based incentive plans
- Health, vision, and dental coverage
- Short- and long-term disability insurance
- Generous paid time off, including paid time to volunteer
- 401(k) employer contribution, described as up to 9.5% in the posting; the detailed benefits section specifies an employer match up to 5% plus an additional 4.5% contribution regardless of employee contribution
- Mental health support
- Career advancement opportunities
- Student loan repayment options
- Tuition reimbursement
- Flexible work environments
- Paid time off
- Competitive and comprehensive healthcare and insurance benefits
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What This Job Offers
Job Type
Full-time
Career Level
Executive
