Product Manager

Delta Tech Hub; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Delta Tech Hub in Bengaluru seeks a Product Manager to define measurement strategies across Delta’s digital platforms. You will own metrics, KPIs, and data products, partnering with data engineers to source, model, and deliver analytics capabilities across international customer experiences.

You will lead dashboard design, customer journey measurement, and the analytics product backlog, driving lifecycle from discovery to continuous improvement and aligning with business goals and partner

Qualifications

• Experience defining measurement strategies for digital platforms.
• Strong ability to translate business needs into data products and dashboards.
• Proven track record shaping analytics roadmaps and backlogs.

Responsibilities

• Lead dashboard strategy and design, transforming data into intuitive insights.
• Develop customer journey measurement frameworks and funnel KPIs.
• Translate business needs into scalable data strategies and analytics products.
• Own the analytics product backlog and prioritize features based on value.
• Drive analytics product lifecycle from discovery to continuous improvement.
• Define vision, strategy, and roadmap for international analytics capabilities.
• Establish standardized metric definitions and single source of truth.
• Identify data gaps and define requirements to close them.
• Collaborate with Data Science, Engineering, and Business teams on AI opportunities.
• Partner with global teams to align on technology integration and customer experience goals.

Skills

Dashboard strategy

Metrics & KPIs

Data storytelling

Backlog management

Cross-functional collaboration

AI opportunities

Analytics product development

Roadmap planning

Job description

Role Summary:

The International Enablement team is seeking a Product Manager to define what we measure and how we track it across Delta’s digital platforms, including the Fly Delta App, delta.com, and our airport kiosks. Sitting at the intersection of product, business, and data, this role owns the measurement strategy for digital and international customer experiences – determining the metrics and KPIs the product team needs, then partnering with data engineers to source, model, and deliver.

Role Responsibilities:

• Lead dashboard strategy and design, transforming complex data into intuitive, insight-driven experiences that support business decision-making.
• Develop customer journey measurement frameworks, defining funnel KPIs, key interaction points, and supporting data requirements.
• Translate business needs into scalable data strategies, data products, dashboards, and analytical solutions.
• Own the analytics product backlog, prioritizing features and capabilities based on customer value, business impact, and technical feasibility.
• Lead the lifecycle of analytics products from discovery and definition through delivery, adoption, measurement, and continuous improvement.
• Define and communicate the vision, strategy, and roadmap for international analytics and measurement capabilities.
• Develop customer journey measurement frameworks, defining funnel KPIs, key interaction points, and supporting data requirements.
• Define the metrics, KPIs, and measurement framework that the product team needs to track the digital customer experience, servicing performance, and outcomes
• Establish and govern standardized metric definitions, classifications, and units of measure to ensure a single source of truth across teams
• Identify gaps in current data availability and define the requirements needed to close them
• Develop and execute enablement strategies that support Delta’s international growth and partner success
• Serve as a liaison between Delta and global partners to ensure alignment on technology integration and customer experience goals
• Create and own a cross-domain international technical roadmap and centralized backlog
• Collaborate with Commercial and IT teams to implement scalable solutions for international operations and partner engagement
• Evaluate enterprise-wide tradeoffs and make decisions that optimize reliability and partner outcomes
• Identify, evaluate, and prioritize AI and Generative AI related use cases that enhance customer experience, operational efficiency and business outcomes.
• Partner with Data Science, Engineering, and Business teams to translate AI opportunities into scalable product capabilities and measurable value.
• Drive the integration of AI and machine learning capabilities into data products, analytics platforms, and decision-support solutions.