AVP, Campaign Operations
Employment Information
Job Description
AVP, Campaign Operations at Synchrony Financial driving innovation in marketing using AI technologies. Enhance decision-making and optimize campaign execution for personalized consumer journeys.
Responsibilities:
- Analyze current campaign workflows to identify gaps and opportunities for AI-driven automation and transformation
- Lead quality assurance efforts to ensure robust and compliant processes before implementation
- Drive the design and rollout of digitally enabled consumer-first campaigns powered by generative and agentic AI
- Embed QA best practices to maintain data integrity, compliance, and seamless execution
- Develop reusable templates, playbooks, and frameworks incorporating AI for targeted segmentation and journey orchestration
- Integrate QA protocols to ensure scalability, consistency, and reduced operational risk
- Guide the team in researching and piloting emerging AI tools to enhance campaign operations
- Lead hackathons and innovation forums to generate creative AI use cases while promoting quality standards
- Lead discussions with Responsible AI Working Group and transformation teams to evaluate AI opportunities within campaign operations
- Advocate for alignment with ethical, governance, and QA frameworks
- Champion the adoption of modern AI techniques and agile marketing practices to continuously transform campaign operations
- Mentor and upskill the team on AI capabilities, consumer journey design, platform usage, and quality assurance.
Requirements:
- Bachelor's Degree with 4+ years of IT experience or, in lieu of a degree, minimum of 6+ years of Marketing experience in financial domain
- 4+ years of experience in digital marketing, campaign operations with good knowledge of AI tools – preferably within financial services
- At least 1 year of experience in campaign operations, digital marketing – preferably within financial services
- Experience with platforms like Microsoft Bot Framework, or Rasa for integrating conversational AI into marketing engagement
- Good knowledge of AI tools with experience 3 years
- Proficiency in AI and automation tools including AWS Bedrock, GitHub Copilot, GPT models, and workflow automation platforms like n8n
- Basic proficiency in Python, JavaScript, or similar languages to customize AI tools, develop automation scripts, or partner effectively with technical teams
- Awareness of ML lifecycle concepts, model evaluation, and monitoring, enabling better collaboration with analytics or data science teams
- Strong data analytics skills using SAS, SQL, Excel, Tableau, or similar tools
- Deep understanding and application of Gen AI and agentic AI capabilities for content generation, campaign orchestration, automation, and predictive analytics.
Benefits:
- Flexibility and Choice for all employees
- Best-in-class employee benefits
- Career advancement and upskilling opportunities
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