Senior Insights Specialist

Responsibilities:

• Assist the team in their migration from Adobe Analytics to Adobe Customer Journey Analytics (CJA) by ensuring data quality and continuity of reporting.
• Partner closely with external consulting teams to transfer knowledge, assume ownership of the implementation, and establish internal best practices.
• Design, build, and maintain scalable, cross-functional reporting environments within CJA.
• Define and govern key data elements (dimensions, metrics, and calculated fields) to ensure consistency, usability, and alignment with business needs.
• Develop and maintain clear, structured documentation of data definitions, reporting environments, and usage guidelines.
• Enable cross-functional teams by providing self-service resources to improve adoption and effective use of CJA.
• Provide direction on new analytics implementations, ensuring tracking designs align with CJA data models, schemas, and governance standards.
• Leverage Adobe AI Assistant and agentic capabilities within Adobe Experience Platform (AEP) and Customer Journey Analytics (CJA) to accelerate insights generation, anomaly detection, root cause analysis, and business decision-making.
• Design and implement AI-enabled reporting and analytics workflows that support autonomous insight discovery while maintaining governance, accuracy, and business context.
• Evaluate and integrate emerging Adobe agentic capabilities to improve reporting automation, customer journey analysis, segmentation, attribution, and audience intelligence.
• Develop reusable analytics assets, prompts, and automated workflows that enable self-service insight generation and reduce manual reporting efforts.

Requirements:

• Bachelor's degree in computer science, computer information systems, or BE/B. Tech or ME/M. Tech, preferably in a technical or scientific field.
• 3+ years of work experience in business, marketing, operations research, finance, or economics required.
• Possessing intellectual curiosity.
• High attention to detail, solution-oriented, and capable of meeting or exceeding deadlines in a fast-paced environment.
• Experience with Adobe Customer Journey Analytics (CJA).
• Excellent understanding of schema structures, data types, and attribution models.
• Excellent presentation/communication/storytelling skills are required.
• Embraces diverse people, thinking, and styles.
• Experience leveraging AI-enabled capabilities within Adobe Experience Platform (AEP), Customer Journey Analytics (CJA), Adobe Analytics, or related digital analytics platforms.
• Understanding of AI-assisted analytics, natural language querying, insight generation, anomaly detection, and automated reporting concepts.

Behavioral Competencies:

• Ability to produce high-quality results and work in a collaborative environment by embracing diverse perspectives and a solution-based approach.
• Adapt communication clearly and concisely based on team dynamics and express thoughts and ideas effectively.
• Ability to engage effectively with peers and stakeholders to build trust and reliable working relationships.
• Ability to understand business processes, implement innovative solutions, and guide juniors on continuous improvement by constantly updating oneself on current technology and trends.
• Inquisitive to understand customer and business expectations while creating value addition on technical solutions.
• Ability to critically evaluate AI-generated recommendations and balance automation with business judgment and analytical rigor.
• Experience with a migration from Adobe Analytics to Adobe Customer Journey Analytics (CJA) is strongly preferred, along with AI Assistant capabilities.
• Airline experience is strongly preferred. Prior experience with Delta or other airline or hospitality data is a plus.
• Partner with business and technology teams to identify opportunities for AI-powered customer journey optimization using Adobe Experience Platform and Customer Journey Analytics.
• Resourceful in finding the data and tools you need to get the job done.
• Not afraid to ask for help when you need it or help teammates when they need a boost.
• Experience implementing GenAI or agentic analytics solutions that automate insight generation, reporting, customer segmentation, or journey optimization.
• Familiarity with large language models (LLMs), conversational analytics, prompt engineering, and AI governance within enterprise analytics ecosystems.