Director, Data Product Strategy

Horizon Media • New York, NY

66d • $160,000 - $190,000 • Hybrid

About The Position

Horizon Media is seeking an experienced Data Product Strategy Lead to drive the development of innovative AI/ML-powered solutions and lead the integration of data science techniques across multiple platforms. This role will focus on building advanced data pipelines, aligning product development with platform goals, and ensuring successful deployment of cutting-edge tools that enhance user experience and data-driven decision-making. The ideal candidate will have a strong background in data science and engineering, with hands-on experience in platform APIs, Snowflake, Databricks, and major advertising platforms such as The Trade Desk, Google, Amazon, and Meta.

Requirements

• 7+ years of experience in data science, AI/ML development, and product strategy, with a proven track record in managing complex data products and solutions.
• Proficient in working with cloud-based data solutions such as Snowflake, Databricks, and other data engineering tools.
• Expertise in leveraging cloud platforms (e.g., AWS, Google Cloud, Azure) to build, deploy, and optimize data pipelines and AI/ML models at scale.
• Extensive experience with platform APIs and integrating data across multiple advertising platforms (Trade Desk, Google, Amazon, Meta, etc.).
• Hands-on experience in AI/ML model development and deployment, with a strong understanding of algorithmic approaches and performance optimization.
• Strong understanding of data architecture, data engineering, and the ability to translate business requirements into scalable technical solutions.
• Proficient in programming languages such as Python, SQL, and experience with version control tools like VS Code.
• Excellent communication and leadership skills, with the ability to collaborate across technical and non-technical teams.

Nice To Haves

• Familiarity with programmatic advertising and media buying platforms.
• Experience with big data tools and frameworks, including but not limited to Apache Spark and Hadoop.

Responsibilities

• Define and lead the strategic roadmap for data products, AI/ML development, and integration across the Blu Platform.
• Align with cross-functional teams (Experience, Platform, and Technology) to ensure data solutions address both internal needs and client requirements.
• Guide and mentor data science, engineering, and product teams on the adoption and implementation of advanced technologies, fostering an environment of continuous learning and innovation.
• Lead the development process, from ideation to deployment, in collaboration with internal engineering teams and external partners.
• Oversee the creation and maintenance of advanced data pipelines that support custom activations, ensuring seamless data flow across platforms.
• Create data processes and techniques needed for Platform requirements.
• Define requirements for engineering teams to develop Data Science and engineering pipelines.
• Develop scalable AI/ML models to address business objectives and optimize performance in advertising campaigns.
• Manage integration of major advertising platform APIs (Trade Desk, Google, Amazon, Meta) to ensure smooth data exchange and optimization of programmatic advertising efforts.
• Build and enhance platform architecture to support the evolving needs of the Blu Platform, ensuring robust and scalable data infrastructure.
• Partner with internal technical teams to design and deploy solutions that drive data in and data out workflows, leveraging cloud-based platforms such as Snowflake and Databricks.
• Develop API strategies to improve data connectivity, enhancing data sharing between internal systems and external platforms.
• Research new technologies to implement in platform.
• Design novel approaches to novel problems.
• Research the feasibility and develop POVs on developing internal tools vs using external partners.
• Collaborate with product managers, stakeholders, and platform leads to define product specifications and ensure alignment with business and technology objectives.
• Work with the experience team to develop and test new features, ensuring product readiness before launch.
• Evaluate new and existing platform partners to gauge opportunities for innovation and improvements in product development.

Benefits

• Health insurance coverage
• Life and disability insurance
• Retirement savings plans
• Company paid holidays
• Unlimited paid time off (PTO)
• Mental health and wellness resources
• Pet insurance
• Childcare resources
• Identity theft insurance
• Fertility assistance programs
• Fitness reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 1,001-5,000 employees