Head of Ads Data Science and Engineering

at  Cardlytics

ABOUT CARDLYTICS

Remember that time you got cash back on a cup of coffee through your banking app? That was us!
Cardlytics (NASDAQ: CDLX) is the industry-leading purchase intelligence and incentives platform. We are a product-driven company that cares about three things: our people, our customers, and our partners. Together, we make commerce more rewarding for everyone by helping businesses attract, understand, and incentivize consumers through their banks’ digital channels.

ABOUT THE POSITION

Cardlytics is seeking a Head of Ads Data Science and Engineering to join our team, reporting to the CTO.
As the tech leader of this growing team, you’ll have the opportunity to work closely with cross-functional partners across the organization, leveraging your expertise to build innovative solutions that drive business impact. By joining us, you’ll be at the forefront of shaping Cardlytics’ advertiser facing data insights product and tech strategy and contributing to a culture of collaboration, experimentation, and continuous learning.

MINIMUM QUALIFICATIONS

• Proven data science and data engineering skills including machine learning, natural language processing, graphs, data pipelines, data lake, data visualization.
• Large scale data science product experience, e.g., search, recommendations, insights, user and product graphs, and advertising measurement.
• Technical Team Management 7+ years of leadership experience in a technical setting, including digital media and advertising technology. (Fintech experience is a plus).
• Built large-scale data and machine learning pipelines, scalable data stores and real-time serving systems.
• Diving in and getting hands-on where needed to keep technical development on track and executing effectively.
• Agile methodologies and leading agile teams in product delivery.
• Successful collaborator who works closely with cross functional teams, executives, and representatives across the stakeholder groups.
• Change management leader who builds trust and credibility across all areas of the business.

PREFERRED QUALIFICATIONS

• Experience with large-scale advertising networks and advertising platforms.
• Machine Learning Operations (MLOps): Strong background in MLOps practices, with experience in automating the end-to-end lifecycle of machine learning models—from data preparation and model training to deployment and monitoring.
• Expertise in Cloud Data Platforms (Snowflake, Databricks or similar): Hands-on experience with these platforms, including their architecture, data storage capabilities, performance tuning, security features, and integration points with other tools in the ecosystem (e.g., Notebooks, MLflow etc.).
• Data Operations Automation: Proficiency in automating data operations to improve efficiency, reduce manual work, and ensure consistent delivery of services within the data infrastructure ecosystem.

CORE VALUES

Our shared values are the driving force behind everything we do. Across all roles, we are looking for teammates who embody these values:

• Customer and Partner-first
• Act with Urgency and Focus
• Integrity with our partners and data
• Accountability even when challenged
• Empowerment over hierarchy
• Growth over comfort

RESPONSIBILITIES:

• Build effective teams by hiring, inspiring, mentoring, and growing a team of technical experts.
• Define and develop a world-class technology program responsible for all advertising solutions, platforms, and systems focused on delivering the most relevant offer to the right user at the right time and meaningful return on ad spend (ROAS) for advertisers. Success will be measured by relevant and engaging user experiences, advertiser demand growth and strong ROAS for advertisers.
• Drive vision and purpose through creation and execution against a high impact, growth driven technology roadmap.
• Balance business objectives across long term growth, short term opportunities, platform stability, and rapid expansion of technical capabilities.
• Deliver results by continual monitoring of the day-to-day product development lifecycle. Lead the management of sprints and evaluate results.

Our shared values are the driving force behind everything we do. Across all roles, we are looking for teammates who embody these values:

• Customer and Partner-first
• Act with Urgency and Focus
• Integrity with our partners and data
• Accountability even when challenged
• Empowerment over hierarchy
• Growth over comfor