Horizon Media
Job Description
Overview 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.
Key Responsibilities Strategy & Leadership
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.
Data Engineering & Development
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.
Platform Integration & Optimization
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
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.
Cross-Functional Collaboration
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.
Required Skills and Experience
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.
Preferred
Familiarity with programmatic advertising and media buying platforms.
Experience with big data tools and frameworks, including but not limited to Apache Spark and Hadoop.
Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Salary Range $160,000.00 - $190,000.00
A successful applicant’s actual base salary may vary based on factors such as individual’s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach.
We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.
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Overview 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.
Key Responsibilities Strategy & Leadership
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.
Data Engineering & Development
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.
Platform Integration & Optimization
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
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.
Cross-Functional Collaboration
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.
Required Skills and Experience
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.
Preferred
Familiarity with programmatic advertising and media buying platforms.
Experience with big data tools and frameworks, including but not limited to Apache Spark and Hadoop.
Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Salary Range $160,000.00 - $190,000.00
A successful applicant’s actual base salary may vary based on factors such as individual’s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach.
We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.
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