Role - Manager – Digital Analytics, Insights & Optimization Experience: 10-18 Years
Shift: 3 PM Onwards
Position: Remote

Mentioned in IAS Sheet (GA4, Adobe Analytics, Power BI, Big Query, CRO, Claude AI)

Job Description (Manager – Digital Analytics, Insights & Optimization)

Lead digital analytics, AI-powered insights, experimentation, and personalization programs by managing a high-performing team that transforms customer data into measurable business outcomes.

We are seeking an experienced leader to manage a specialised team focused on digital analytics, business intelligence, experimentation, and website optimization.
The role is responsible for defining strategy and driving the execution and delivery of analytics reporting, actionable insights, conversion rate optimization (CRO), personalization initiatives, and AI-powered analytics solutions that deliver measurable business impact.
The individual will serve as the primary liaison between business stakeholders, marketing teams, digital product owners, and technical resources, ensuring that data-driven initiatives are prioritised, delivered on time, and aligned with organisational objectives.

Ensure timely execution of analytics implementations, dashboard development, experimentation programs, and optimization initiatives.

- Monitor delivery KPIs and proactively manage risks, dependencies, and bottlenecks.
- Establish delivery governance, quality standards, and operational processes.

# Google Analytics 4 (GA4)

- Adobe Analytics
- Power BI
- AI-powered analytics platforms, including Claude and LLM-based insight solutions

- Ensure reporting frameworks deliver actionable business insights rather than data-only outputs.




- Partner with stakeholders to define measurement strategies, business KPIs, and performance frameworks.
- Data & Technology Leadership
- Google Analytics 4 (GA4)

- Adobe Analytics
- BigQuery
- Power BI
- Claude AI, Claude Code, and GenAI-assisted analytics tools
- Establish best practices for tracking, tagging, data quality, and analytics governance.

- Support AI-driven analytics, automated reporting, and insight-generation initiatives.
- Oversee A/B testing, multivariate testing, and website personalization initiatives.
- Drive a culture of data-driven decision-making through structured experimentation.
- Act as the primary point of contact for business, marketing, digital product, and leadership stakeholders.
- Present insights, performance trends, solution recommendations, and business outcomes to senior stakeholders.
- Provide technical and people leadership to specialist resources across three functional areas (Analytics Reporting Lead, Analytics Engineering Lead & Optimization & Personalization Lead)

Required Skills & Experience

# Skilled Experience

- 10+ years of experience in digital analytics, optimization, consulting, or delivery management.
- 5+ years of experience leading analytics, experimentation, or digital marketing technology teams.




- Proven experience managing stakeholder-facing analytics and optimization programs.
- Google Analytics 4 (GA4)
- Adobe Analytics
- Power BI and executive dash boarding
- BigQuery and analytics data management
- Contentsquare and digital experience analytics
- Website personalization
- Digital measurement frameworks and KPI development
- Generative AI and LLM-powered analytics applications
- Analytics automation and AI-assisted reporting workflows

# Delivery governance and quality management

- Program and project management
- Risk and dependency management
- Prioritization, planning, and resource allocation
- Bachelor's degree in Computer Science, Information Technology, or a related discipline.
- Master's degree or a specialised qualification in Analytics is an advantage.
- Experience managing digital transformation or customer experience analytics programs.
- Relevant certifications in Google Analytics, Adobe Analytics, Power BI, Agile/Scrum, or Optimizely.
- Experience leveraging AI and automation to improve analytics and reporting workflows.
- Experience delivering consulting services or managing client-facing engagements.

Business problems are addressed through integrated, scalable solutions rather than isolated implementations.

- Analytics, data engineering, experimentation, and personalization operate as a connected ecosystem.
- AI capabilities are effectively leveraged to accelerate insights, reporting, and automation.
- Analytics, optimization, and reporting capabilities are enhanced through AI-powered automation and Claude MCP integrations, resulting in faster delivery, reduced operational effort, and increased business impact.

📌 Digital Manager - Remote working (Noida)
🏢 Trantor
📍 Noida