AVP, Customer Data Platform - MarTech

Job Description:

Role Summary/Purpose:

The CDP Data & Infrastructure position is critical to advancing our Customer Data Platform initiatives. This role will develop segmentation strategies, create insightful reports and develop industry leading AI & machine learning program.  Additionally, the role will design robust schemas and data models while integrating data sources and ensuring strong data governance practices.

You will collaborate across teams to translate marketing use cases into actionable data solutions, working fluidly between the CDP and partners. Your efforts will drive truly omni-channel, user-centric journeys.

This is an exciting opportunity for an innovative professional eager to make a tangible impact in a fast-paced, forward-thinking environment.

Our Way of Working

We’re proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home, near one of our Hubs or come into one of our offices. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.

Essential Responsibilities:

• Collaborate in the identification and integration of first-, second-, and third-party data sources to support marketing strategies and business objectives.

• Conduct thorough research to evaluate diverse data sources and formulate adaptable methods for integrating them into existing data models and schemas.

• Oversee the daily operation and overall health of the customer data platform (CDP) to ensure seamless integration with the broader marketing technology ecosystem.

• Contribute to the technical design and configuration of the CDP’s data architecture, including identity resolution processes.

• Identify proper machine learning algorithms, train, validate and measure deployed models and create bias audits

• Assist in defining, documenting, and validating technical ETL (Extract, Transform, Load) requirements for data assets sourced from internal systems, partners, and suppliers.

• Contribute to the design and implementation of ETL workflows within the CDP, including processes for data preparation, cleansing, and quality maintenance.

• Participate in the tactical deployment of data collection tools, such as event listeners and tracking technologies, to improve data accuracy and completeness.

• Support the creation, management, and activation of audience segments for omni-channel marketing initiatives.

• Provide technical evaluations and actionable recommendations regarding potential complementary technologies for integration within the marketing technology stack.

• Perform other duties and/or special projects as assigned.

Qualifications/Requirements:

• Bachelor’s Degree. In lieu of degree, a high school diploma/GED and 6+ years of technology, marketing technology, marketing platforms digital media and/or audience management experience

• At least 2 years working directly with Customer Data Platforms

• At least 3 years data integration development experience

• At least 3 years working in Marketing Technology or Digital Marketing

Desired Characteristics:

• Proven expertise in managing complex enterprise-level Customer Data Platforms (ex: Twilio Segment, mParticle, Adobe, BlueConic, Treasure Data, etc), ideally including composable CDP models.

• Experience in designing and implementing advanced data models and schemas.

• Familiarity with Machine Learning, Natural Language Processing (NLP), Large Language Models (LLM) and AI Frameworks & libraries

• Experience with SQL and NoSQL (relation & non-relational) databases and Big Data tools such as Apache Spark, PySpark, Hadoop, AWS S3.

• Programming proficiency in Python, Java, R, SAS, JavaScript, C++.

• Experience with supervised and unsupervised learning (e.g., clustering, classification, regression) to create customer segments

• Working knowledge of AI/ML tools such as Jupyter, IDEs, Git

• Working knowledge of Snowflake, Redshift, Kafka, Splunk, or similar platform technologies.

• Proficient in using ETL (Extract, Transform, Load) tools and managing multi-platform ETL processes.

• Skilled in debugging and resolving issues related to data collection and platform integrations.

• Strong background in data management and governance, including data quality, cleansing, and metadata management practices.

• Solid unde