ArcSpan Technologies is an innovative audience monetization SaaS company operating within the rapidly evolving AdTech and MarTech industries. ArcSpan delivers effective next-gen data tools and dynamic revenue optimization solutions to leading publishers and audience data owners to help drive top- and bottom-line growth. As customers adapt to a first-party addressable audience marketplace, ArcSpan’s Audience Monetization System (AMS) boosts their revenue by enhancing the quality and quantity of real-time targetable audiences in an automated way, while tracking and optimizing to KPIs across digital channels. ArcSpan’s enterprise technology product suite and data solutions drive both on-site and off-site monetization success.

Established by digital industry leaders from Accordant Media, dentsu, NewsCorp, and Beeswax, ArcSpan prioritizes consumer data privacy and fosters industry transparency. The company is headquartered in New York City.

We are seeking a collaborative, innovative Data Product lead to join our team!

The Director/VP, Data Product will drive analytical and ML/AI innovation within the ArcSpan Audience Monetization System platform. The position will support the development and launch of data-driven features and functionality that empower our clients to extract greater insights and achieve better audience monetization. This involves close collaboration with stakeholders both internally and externally. On a day-to-day basis, they will interact with the product, engineering and customer success teams to understand requirements, analyze information and craft comprehensive solutions.

Job Description

Collaborate with the product and engineering teams to build data products supporting audience insights and monetization.
Proficiency in deriving meaningful business insights from data and pinpointing the underlying causes of patterns.
Take charge of, devise, and execute advanced data analysis, predictive analytics, develop mathematical methodologies, and create intricate algorithms to address business challenges.
Work hands-on to use large datasets and build, train and test machine learning models.
Implement a variety of ML models based on a philosophy that the data product should solve business needs.
Leverage generative AI to create tools that help customers more efficiently tap into their datasets to drive audience value.
Scope projects, assess potential risks and communicate clearly with the stakeholders.

Qualifications

The successful candidate will have:

7+ years’ experience working in a data product/analyst capacity.
Proven track record of successfully leading data and analytics teams and driving innovation.
Experience applying machine learning to real business problems.
Experience leading exploration and visualization of data with leading tools.
Proficiency in Python/R, NumPy, Plotly, TensorFlow, Sci-Kit Learn, Keras.
Experience in SQL, Scripting.
Familiarity with using a Unix operating system.
Familiarity of at least one of: AWS, Google Cloud or Azure Cloud infrastructures.
Experience with natural language processing, sentiment analysis.
Strong communication and interpersonal skills.
Ability to share/collaborate with peers; experience with working in an agile team is a plus.
Prior experience in media.

Additional desired qualifications (but not required):

Significant sell-side experience, either working at a publisher/media company or at a vendor supporting the sell-side.
An advanced degree (MS or Ph.D.) in Computer Science, Mathematics, Physics or related fields.
Deep expertise in Ad Tech and MarTech, with a history of building data products in this domain.
Experience in building Generative AI solutions.
Familiarity with the AWS/GCP Suite of ML/AI tools.
Familiarity with data privacy regulations and best practices in data handling and storage.

Additional Information

ArcSpan offers an attractive compensation package including competitive base salary, annual bonus, equity and additional health insurance, time off, 401k, flexible working environment and other benefits.

This is a hybrid position – partially remote and partially working out of our HQ in New York City. Candidates must be within daily commuting distance of NYC or willing to relocate.

ArcSpan Technologies is an Equal Opportunity Employer. Applicant information will be kept confidential according to EEO guidelines. Candidates must be legally authorized to work in the United States.

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