Director/VP, Data Product

ArcSpan Technologies, Inc.
Long Island City, New York, US
Full-time
We are sorry. The job offer you are looking for is no longer available.

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.

The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.

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.

www.arcspan.com

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.

J-18808-Ljbffr

2 days ago
Related jobs
Promoted
Sphere Digital Recruitment | Best Small Company 2022
New York, New York

At least 10 or more years in Product Management, focusing on audience targeting, data products or identity resolution. VP of Audience Solutions Product - Leading CTV Publisher - $200,000 - $300,000 plus bonus. Experience on scaling products that utilisze zero party data and advanced targeting techni...

Promoted
Capital One
New York, New York

Senior Director of Product, Data Management. Champion the execution of next generation product features utilizing a strong foundation in product management and data platforms. Do you dream of well-designed and intuitive products and customer experiences? Do you want to be the one who introduces chan...

Promoted
New York Life Insurance Company
New York, New York

AI&D product management organization and has accountability for creating the vision & strategy, managing the roadmap and executing on the product backlog working closely with cross functional teams across data engineering, data governance, data science and data analytics within AI & Data...

Promoted
Pixalate, Inc
Queens, New York

Director of Product Marketing, Data Privacy Products. We are seeking a dedicated, dynamic and experienced Product Marketing Director to support Pixalate’s Online Privacy & Compliance products. Support sales and Customer Success team with marketing collateral, webinars, case studies, content and ...

instagram
New York, New York

The Data Science Director of Product Foundation will lead teams of data scientists across four sub-pillars, each focused on broad, cross-Instagram experiences. We are looking for a leader with excellent product sense and analytical ability to drive informed product and engagement decisions. Determin...

Capital One
New York, New York

Helping Enterprise Data solidify a foundation to make data easy to find, understand and use via our data warehouse, data lake, The Exchange, and data products. Focusing on embedding automated governance throughout the data lifecycle from data creation, to data publishing and transforming, to data de...

JPMorgan Chase & Co.
New York, New York

As a Data Entitlements Product Director in the Digital Platform & Services team, you will focus on delivering JPMorgan’s data capabilities to the rest of the firm. You will be responsible for building data solutions to support businesses and developers creating novel consumer experiences and workpla...

TelevisaUnivision
The Bronx, New York
Remote

TelevisaUnivision is seeking a Director of Data Science, Personalization and Product Analytics to join our Enterprise Data Science team. This team also develops key data assets for the company, including the TelevisaUnivision Household Graph, personalization, and lifecycle propensity algorithms for ...

JPMorgan Chase & Co.
New York, New York

As a Data Governance Product Director within the Engineering and Architecture Product team, you will serve as the client’s advocate in Solution Design and in advancing the discovery and delivery of client-centric product features. Deliver Data Governance solutions across several work-streams - to in...

New York Life Insurance Co
New York, New York

AI&D product management organization and has accountability for creating the vision & strategy, managing the roadmap and executing on the product backlog working closely with cross functional teams across data engineering, data governance, data science and data analytics within AI & Data...