Director of Analytics for Growth and Marketing

Fidelity Investments•Jersey City, NJ

1d•$110,000 - $222,000

About The Position

The Role Looking for your next career opportunity with Fidelity? Fidelity Private Shares group is seeking a Director of Analytics for Growth and Marketing to join the team and help transform marketing into an AI-enabled, LLM-integrated growth engine grounded in data, automation, and continuous learning! This opportunity is needing someone who is experienced in Demand Generation who will be passionate about orchestrating a full-funnel pipeline with machine integration, Product Marketing will evolve into continuous positioning with real-time message iteration across segments, industries, and accounts, and traditional search engine optimization will evolve towards AI Engine Optimization, with a strive too maximizing presence in the "answering layer". The Team Fidelity Private Shares is growing integration of AI across its technology and product platforms, this role will apply those capabilities to marketing—enhancing the analysis and optimization of spend, and advancing demand generation and product marketing execution. In a constantly evolving landscape, and alongside Fidelity’s broader adoption of these technologies, this role offers an outstanding opportunity to lead with an entrepreneurial mindset. The Director will help define and scale FPS’s use of marketing-focused AI and LLMs, with the autonomy to design, test, and refine approaches ahead of broader implementation. Initial guidance will be provided by the Head of Fidelity Private Shares.

Requirements

Knowledge of the use of LLMs for content generation, analysis, and workflow automation
Experience with demand generation and product marketing
An understanding of structured data and schema design
Data analytics capabilities

Responsibilities

Apply quantitative analysis and experimentation frameworks to evaluate marketing performance and pricing strategies: 10%
Develop and implement AI Engine Optimization strategies, ensuring content is structured and optimized for ingestion, retrieval, and citation by LLMs and AI-driven search platforms: 15%
Orchestrate a full-funnel demand generation pipeline supported by data-driven automation and machine assistance: 20%
Complete end-to-end marketing programs across channels (paid, email, web) while embedding AI and LLM-driven capabilities into campaign design, content generation, and audience targeting: 20%
Implement testing and optimization frameworks for continuous message iteration across client segments and accounts: 20%
Collaborate cross-functionally with Sales, Product, and Engineering to integrate first-party data, analytics, and model-driven insights into a unified view of the customer lifecycle: 15%