13 дней назад
AVP Growth Analytics (AI)
133 500 - 274 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AVP Growth Analytics (AI): Leading growth analytics strategy, attribution, funnel intelligence, data pipelines, and multidisciplinary technical teams supporting demand generation and marketing-to-sales performance with an accent on AI, machine learning, data strategy, and advanced measurement. Focus on building scalable analytics capabilities, optimizing pipeline conversion, and translating complex technical insights into executive decisions.
Location: Portland, Maine, USA
Base salary: $133,500–$274,100 annually
Company
provides employee benefits and service solutions, supporting more than 39 million people through a workforce of approximately 10,000 employees.
What you will do
- Define and lead the growth analytics strategy for demand generation, marketing-to-sales pipeline performance, and revenue growth.
- Build measurement frameworks, attribution methodologies, funnel intelligence, and KPI systems across marketing, sales, field effectiveness, and finance.
- Lead data strategy, data quality, enrichment, integration, and MarTech pipelines for identifying and qualifying engaged prospects.
- Apply AI, automation, LLMs, machine learning, and advanced modeling to improve analytics delivery and decision-making.
- Own vendor relationships, budgets, portfolio prioritization, and agile delivery for analytics and MarTech capabilities.
- Build and develop a multidisciplinary team of data scientists, engineers, analysts, and marketing analytics operations specialists.
Requirements
- Bachelor’s degree in computer science, mathematics, data science, operations research, or a related quantitative discipline; a master’s degree is preferred.
- 10+ years of experience in advanced analytics or technology, preferably in marketing analytics, demand generation analytics, sales analytics, or revenue operations.
- Strong expertise in SQL, Python, statistical modeling, machine learning, data visualization, and software engineering fundamentals.
- Experience with large-scale data and cloud platforms such as Teradata, Snowflake, AWS, or GCP.
- Experience leading multidisciplinary technical teams, reviewing code, troubleshooting issues, and guiding model and automation development.
- Deep understanding of B2B buying processes and the ability to communicate complex technical concepts as executive-level insights.
Nice to have
- Master’s degree in a quantitative or technical discipline.
- Experience in finance or sales.
Culture & Benefits
- Inclusion and diversity are organizational priorities.
- Flexible work environments and career advancement opportunities.
- Health, vision, dental, disability, mental health, and paid time off benefits.
- Performance-based incentive plans and a 401(k) contribution of up to 9.5%.
- Tuition reimbursement, student loan repayment options, and paid time to volunteer.
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