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Juwel RanaJR

Juwel Rana

Head Analytics & AI, Data Science Lead, PhD

$800/day
Dubai, AE
15+ years

Average response time: 1 hour

About Juwel

I help organizations turn data and AI into measurable business value. With 15+ years of experience across retail, telecom, and digital platforms, I have led large-scale analytics and AI initiatives from strategy to implementation. My background spans data platforms, machine learning, business analytics, and digital transformation. I work closely with both technical teams and leadership to translate complex data into actionable decisions.

I typically support organizations with:

• AI strategy and implementation
• Data platform architecture (Snowflake, BigQuery, Azure, GCP)
• Advanced analytics and forecasting
• Business intelligence modernization
• Data governance and data product development
• GenAI adoption and Copilot enablement


Previously I served as Head of Analytics & AI at Varner, one of the Nordic region’s largest fashion retail groups, where I led data-driven initiatives across multiple international brands.

Earlier in my career, I worked with Telenor Group on advanced analytics and AI research projects focused on large-scale data environments.

I also advise organizations through Runestone Intelligence, helping companies adopt modern AI and data capabilities.

I combine strategic thinking with hands-on execution, helping organizations move from ideas to real outcomes. I am comfortable working across product, engineering, and leadership teams and thrive in complex transformation projects where clarity and structured execution are critical.

AI Forecasting Platform – Retail
Built forecasting models improving demand planning accuracy across multiple markets.

Data Platform Modernization
Migrated legacy BI infrastructure to modern cloud architecture (BigQuery, dbt, Airflow).

GenAI Copilot Adoption
Helped organizations adopt generative AI tools for productivity and automation.
  • Norwegian

    Fluent

  • English

    Native or bilingual

Can work on-site
Dubai (up to 50km), Abu Dhabi (up to 50km), Ras al-Khaimah (up to 50km)

Experience

  • Varner AS (Nordic Retail Group)
    Head of Analytics & AI
    RETAIL (LARGE RETAILERS)
    January 2018 - January 2025 (7 years)
    Oslo, Norway
    Led enterprise-wide data and AI strategy across multi-brand retail operations in the Nordics. Key Contributions: Enterprise AI Strategy Defined and executed AI roadmap aligned with retail KPIs and commercial objectives Introduced GenAI-powered insight tooling and automation initiatives Forecasting & Optimization Designed and deployed advanced forecasting engine integrating weather, promotion, and historical demand signals Enabled improved supply chain decision-making and stock optimization Personalization & Customer Intelligence Built scalable personalization ecosystem across marketing and loyalty domains Operationalized ML-driven campaign optimization Data Platform Transformation Architected cloud-native analytics platform (GCP-based) Implemented ML lifecycle governance, CI/CD, and scalable data pipelines Transitioned from legacy big-data stack to modern cloud ecosystem Leadership Scope: Led cross-functional AI and analytics teams Stakeholder engagement across commercial, supply chain, marketing, IT and vendors Technology Environment: Python, SQL, BigQuery, Spark, Kubernetes, Airflow, MLflow, CI/CD, GCP, Azure
    artificial intelligence Data science Data Governance Tech Lead
  • Runestone Intelligence (DIFC, UAE & Nordics)
    Founder & Chief AI Officer
    January 2025 - Today (1 year and 5 months)
    After years working with data, analytics, and AI in large organizations, I started Runestone Intelligence to focus on one thing:
    - Making AI actually work in real business environments.
    - Not as a side project. Not as a demo. But as something that people use in their daily work.

    Most companies don’t struggle with ideas — they struggle with execution. My work is usually around taking something that is still abstract (AI strategy, use cases, messy data, unclear processes) and turning it into something structured, usable, and running in production. I typically work in the space between:

    - Business problems and technical solutions
    - Data platforms and decision-making
    - Experimentation and production

    Recent work includes:

    building forecasting and decision-support systems used in operations
    working with LLMs to structure unstructured data and automate workflows
    supporting GDPR and data governance work in production environments
    helping teams move from fragmented data to more structured, reliable setups. I’ve previously worked in environments like Telenor Group and Varner, and currently work closely with teams at CEWE on data and governance-related topics.
    Open to:
    - Consulting engagements
    - Interim roles within AI, data, or analytics
    - Projects where there is a real problem to solve
    artificial intelligence Business Intelligence (BI) Strategy AI and Advanced Analytics Data Engineer Tech Lead
  • CEWE Norge
    Principal Data Protection Officer (Scandinavia)
    October 2025 - March 2026 (5 months)
    Established GDPR governance framework across Scandinavian operations Implemented RoPA, DPIA, and vendor risk management processes Designed AI compliance and risk management model aligned with EU AI Act Act as executive advisor on data ethics and AI governance

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Education

  • PhD
    Luleå University of Technology
    2013
    PhD
  • MSc
    KTH Royal Institute of Technology
    2009
    MSc

Certifications

  • Google Cloud Leader
    Google Cloud
    2023

Skill set

Categories