Description

Portfolio Level Technical Strategy & Architecture

• Own and evolve the technical strategy for analytics across multiple pods/products
• Define and govern enterprise level analytics architecture, including:
  • Data ingestion and integration patterns
  • Data modeling and semantic layer standards
  • Reporting and analytics consumption patterns
• Drive standardization, reuse, and simplification to reduce technical debt
• Review and approve technical designs for major initiatives and cross pod solutions

Program / Portfolio Delivery Governance

• Provide technical oversight across multiple analytics pods
• Ensure consistent application of:
  • Design standards
  • Coding and moClienting best practices
  • Data quality and validation frameworks
• Own technical risk management at portfolio level (dependencies, scalability, performance)
• Act as final technical escalation point for complex delivery issues

Partnership with Product, BA & Architecture Leadership

• Partner with Product Managers to align portfolio roadmaps with technical feasibility
• Work with Senior Client to ensure KPI frameworks and metric logic are technically sound and scalable
• Collaborate with Solution / Enterprise Architects to ensure alignment with:
  • Platform strategy
  • Security, compliance, and governance standards
• Influence prioritization decisions by articulating technical trade offs and impacts

Hands On Technical Leadership (Selective, High Impact)

• Step in hands on for:
  • Complex architecture decisions
  • Large migrations / rationalization efforts
  • Cross domain analytics solutions
• Guide teams on:
  • SAP BW / HANA / S/4 data models
  • Data warehousing, Lakehouse, DataLake, ETL / ELT patterns
  • Cloud analytics platforms (AWS, Snowflake, etc.)
• Ensure analytics platforms are future ready, not just fit for current use cases

Analytics Technical Solution Ownership

• Own the end to end technical design of analytics solutions within assigned pods or products
• Define future state analytics architecture, including data flows, integration patterns, and semantic layers
• Review and approve data models, pipelines, and reporting architectures
• Ensure solutions are scalable, performant, reusable, and maintainable

Team Leadership & Mentorship

Leadership of Tech Leads & Senior Engineers

• Line manage and mentor Tech Leads and senior analytics engineers
• Set clear expectations for:
  • Technical ownership
  • Delivery accountability
  • Quality standards
• Coach Tech Leads on:
  • Decision making
  • Stakeholder communication
  • Balancing speed vs sustainability

Talent Development & Capability Building

• Build a strong analytics engineering leadership bench
• Define and drive skill development paths for:
  • Data engineering
  • BI & semantic modeling
  • Cloud and platform capabilities
• Identify skill gaps and partner with CoE leadership on:
  • Hiring strategy
  • Upskilling plans
  • Vendor augmentation where required

Culture, Ways of Working & Engineering Excellence

• Champion product based delivery and engineering discipline
• Promote strong collaboration across Product, BA, Engineering, and Platform teams
• Embed a culture of:
  • Ownership
  • Reuse over reinvention
  • Data quality and reliability
• Act as a role model for technical and people leadership

Qualifications:
Minimum Requirements

Functional & Domain Experience

• 14–16+ years in analytics, data engineering, or BI
• Proven experience leading large scale analytics programs or portfolios
• Strong domain exposure in Supply Chain, Manufacturing, Retail, Sales, Finance, or Operations
• Experience delivering enterprise scale analytics solutions

Technical Skills

• Strong hands on experience with: ETL / ELT, Cloud platforms (AWS, Snowflake, Open source), Databricks, Open Source, SAP Analytics (BW, HANA, S/4), Data Warehousing
• Strong grasp of:
  • Data modeling and semantic layers
  • Analytics performance and scalability
  • Integration patterns across heterogeneous source systems
• Experience with BI platforms (Power BI, Looker, Tableau, Qlik, etc.)
• Support complex data analysis, troubleshooting, and solution rationalization
• Guide teams in modern analytics and data engineering practices

Soft Skills

• Proven people management experience with senior technical staff
• Strong influencing skills across business and technology leadership
• Ability to communicate complex technical concepts in business terms
• High ownership mindset with enterprise level thinking
• Comfortable operating in ambiguity and driving clarity at scale
• Excellent communication and stakeholder management skills
• Ability to influence without authority
• Strong coaching, mentoring, and feedback skills
• Ability to influence and motivate teams without micromanagement
• Strong communication and conflict resolution skills

Key Skills

Education

Any Gradute