Director, AI Solutions

NBCUniversal•New York, NY

56d•$160,000 - $225,000•Hybrid

About The Position

The Director, AI Solutions will be an expert on all products within their designated space. They will lead a team of product owners and specialists, guiding them to develop cross-functional designs and build any current or new products within this space. The Manager will execute a strategic vision for their area and be a thoughtful and experienced leader, responsible for defining and prioritizing requirements. They will also be able to communicate our business partners' strategic vision in a planned product roadmap. Additionally, the Director will participate in large initiatives and SWAT teams that tackle major problems within the organization, which may turn into larger, more complex projects or initiative.

Requirements

Bachelor’s degree in data analytics, business, statistics, mathematics, computer science, or a related field
10+ years of related professional experience with the ability to collect, organize, analyze, and present the results with attention to detail and accuracy.
5+ years of product management experience in media and marketing measurement, gathering client requirements, writing product and/or technical specifications, working with development teams, and managing product roadmaps as well as launches.
Exceptional communication and collaboration skills, with the ability to influence stakeholders at all levels of the organization.
Proven expertise in developing and deploying Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architecture
Understanding of ML lifecycle, Feature engineering, model drift, A/B testing, retraining
Analytical skills to present to create analyses that tell a “story” focused on insights and data
Understanding and ability to deliver trend and data analytics, ability to provide meaningful analysis
Ability to gather and comprehend requirements and challenges across all levels of the business which can be assisted by data analytics
Ability to convey complex technical issues internally to both technical and non-technical individuals
Experience with AWS, Snowflake SQL, and Tableau

Nice To Haves

Strong understanding of AI, LLM’s, NLP, machine learning algorithms, and big data analytics.
Hands-on experience with AI platforms, cloud services, and analytics tools (e.g., Python, R, TensorFlow, AWS, or Google Cloud).
Deep understanding of data-driven decision-making processes and experience in implementing advanced analytics models that inform business strategy.
Expertise in the SDLC process, with a focus on scoping, iteration planning, user story and acceptance criteria writing, rollout management.
Experience with systems integration, data governance, and security compliance
Experience with Agile methodology and project management tool such as Jira

Responsibilities

Team Building & Mentorship: As the team leader, you will be responsible for guiding team members, setting strategy and product deliverables, and monitoring progress towards those goals.
Product Management: Develop and lead a long-term vision and strategy across all products, define and maintain product roadmaps and product integration strategy, and balance internal requirements with client requests and priorities.
Cross-functional Influence: Engage with multiple clients, business units, and internal stakeholders to understand their requirements and translate them into product features and capabilities for internal development by our engineering partners.
Communication: Create and present documentation to external and internal business partners where necessary, execute periodic product demos and walk-throughs for client product teams and internal leadership, and take a leadership role in leading a team of product owners and specialists.
End-to-End Product Development: Lead the development of AI agents, from concept and design through implementation, ensuring they are scalable, adaptive, and aligned with business objectives.
Client-Centric Design: Partner with client-facing teams to understand customer use cases, ensuring that conversational agents meet the needs of both external customers and internal stakeholders. Focus on enhancing user engagement, self-service capabilities, and operational efficiency.
Scalability & Global Integration: Ensure the deployment of AI agents at scale, across different regions, languages, and customer touchpoints.
AI Democratization: Lead the development of self-service AI tools that enable different teams to leverage AI for their use cases without needing deep technical expertise
KPIs & Performance Measurement: Develop key performance indicators (KPIs) to measure the success of AI products. Use data insights to inform ongoing product development and business strategy.

Benefits

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

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