Manager, Product Management

Job Description

Who We Are

Horizon Next is one of the industry's most innovative and data-driven marketing organizations and sits at the intersection of three constantly changing landscapes: people, data, and media. Our business provides strategic leadership to accelerate growth for our clients through brand strategy, media planning and investment, and best in class analytics across all channels. As the leader in innovative business solutions, we are always pushing ourselves to understand what’s next: our next innovation, our next advancement in analytics, the market’s next media evolution, and your next breakthrough idea. Horizon Next operates with the single goal that tomorrow must outperform today. 

At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together.

Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow.

Job Summary
Data and Analytics are core components of Horizon Next.  They are used to drive and inform decision making at all levels of the company.  The Horizon Next Analytics team offers a suite of analytical models to help our strategy and client teams plan and optimize media campaigns.

The Manager, Product Management will lead the implementation and maintenance of these models across our clients.  They will be a go-to expert on the models offered by Next Analytics and will work closely with the Horizon Next strategy and client teams as they use the various models.  The Manager will be able to speak to the use cases for each model, the data needed to run each model, and how best to interpret and utilize the model outputs for decision making. The Manager will also be responsible for fixing, improving, and expanding the outputs and capabilities of existing models.

The Manager will also develop and prototype new types of models that can be included as part of the Next Analytics offerings.  This will include working with strategy and client teams to understand gaps not satisfied by our existing models.  The Manager will also identify new, untapped data sources that can provide value for our clients.

This is a hands-on role in which the Manager will be deeply involved in both the data inputs for the models and the code that runs them.  The Manager will also mentor junior members on the Analytics Product Management team to help them learn and become more proficient in their roles.

What You’ll Do
 

Deploy and maintain Next Analytics models for Horizon Next clients (60%)

• Ensure existing model pipelines run smoothly and produce high-quality data

• Help strategy and client teams interpret model outputs

• Onboard new clients by gathering the required data inputs needed for their models

• Update models for existing clients to add new features or KPIs

• Improve processes and code for existing Next Analytics models

• Identify opportunities to automate model onboarding and deployment

• Handle any bugs or model output issues that may arise

Develop new analytical models for Next Analytics (20%)

• Test new and existing models to optimize model results and model runtimes

• Identify and onboard new data sources that can provide value for our client’s models

• Productionalize new models and standardized processes so new models can be used by all clients

• Code new models and algorithms to provide new types of valuable data for strategy and client teams

Mentor and lead junior team members (20%)

• Work with junior Analytics Product Management team members to help them increase their knowledge about the different Next Analytics models

• Showcase best practices for model development and data onboarding

• Be a resource for technical questions from junior team members and assist with their education

• Guide junior team members in their work with strategy and client teams (non-technical teams)

Who You Are
 

• You want to empower your team members to make informed decisions for the company by providing them with the information and data they need

• You enjoy coming up with novel solutions as new issues arise (not following a never-changing process)

• You have a “get it done” mentality and view new requests and challenges as opportunities to shine

• You are excited to build “production-ready” processes that can scale across many clients and industries

• You have a strong technical and coding background with experience both in data analysis and algorithms as well as data pipelines

• You have experience working “hands-on” with modeling code and with raw/messy data

• You can explain model requirements to non-technical users and help them interpret model results

Preferred Skills & Experience
 

• Strong SQL skills with experience building complex data models and optimizing queries for performance

• Hands-on experience in a cloud-based data warehouse like AWS Redshift, Snowflake, Google BigQuery, etc.

• Experience using Python or R for data analysis and modelling (familiarity with marketing models like MTA or MMM is a plus)

• Experience building data pipelines in Python (experience with Airflow is a plus) Proficient with the command line and Git

• Experienced in or knowledgeable about the media/advertising/ad-tech industries

• Nice to have: experience using dbt and Tableau

• Master’s degree in Business Analytics, Computer Science, Mathematics, Statistics, Economics, Quantitative Marketing, or related technical fields, or equivalent years of work experience

Certificates, Licenses and Registrations
 

N/A

Physical Activity and Work Environment

No requirements for physical activity and work environment

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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

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.