Lead : Software Engineer

Must Have

• Key Responsibilities
• Analytics Strategy & Implementation
• Lead end-to-end analytics implementation planning across web, mobile, and digital platforms
• Define measurement frameworks, KPIs, and tracking strategies aligned with business objectives
• Translate business requirements into scalable tracking specifications, data layers, and implementation plans
• Oversee implementation and governance of analytics solutions using GTM, Tealium, GA4, Adobe Analytics, and related platforms
• Ensure data quality through robust QA processes, monitoring, and validation frameworks
• Tag Management & Data Collection
• Design, implement, and maintain client-side and server-side tagging solutions
• Manage third-party marketing, advertising, and analytics platform integrations
• Optimize tracking architecture for performance, scalability, and compliance
• Drive consent management and privacy-compliant data collection strategies
• Establish implementation standards, governance models, and best practices
• Reporting & Insights
• Develop executive dashboards and performance reporting frameworks
• Analyze digital performance and user journeys to identify optimization opportunities
• Generate actionable insights across marketing, customer experience, content engagement, and campaign effectiveness
• Work with business stakeholders to define success metrics and translate data into business recommendations
• Support experimentation, attribution, audience analysis, and measurement strategies
• ### Generative AI & Innovation
• Identify, design, and implement Generative AI use cases across analytics, reporting, implementation, and operational workflows
• Build AI-powered solutions to automate QA, documentation, reporting, tagging validation, and anomaly detection
• Evaluate emerging AI technologies and assess applicability for client business challenges
• Create proof-of-concepts, accelerators, and reusable frameworks that enhance team productivity
• Drive a culture of innovation by evangelizing AI adoption across teams and clients
• Client Consulting & Stakeholder Management
• Serve as a trusted advisor to clients on analytics, measurement, and data strategy
• Lead discovery workshops, solutioning discussions, and implementation planning sessions
• Present recommendations, insights, and strategic roadmaps to client stakeholders
• Collaborate with marketing, product, engineering, media, and business teams to deliver integrated solutions
• Manage multiple workstreams while ensuring delivery excellence and customer satisfaction
• Team Leadership & Capability Building
• Mentor and guide engineers, analysts, and consultants
• Review solution designs, implementation approaches, and deliverables
• Drive capability development in analytics, tag management, AI, and emerging technologies
• Promote a culture of continuous learning, innovation, and operational excellence
• Identify opportunities to standardize processes and build reusable assets

Good to have