Enterprise Analytics Architect | Lead Data Strategy & Innovation

About Bristlecone

Bristlecone, a Mahindra company, is a leading supply chain and business analytics advisor, rated by Gartner as one of the top ten system integrators in the supply chain space. We have been a trusted partner to global enterprises such as Applied Materials, Exxon Mobil, Flextronics, Nestle, Unilever, Whirlpool, and many others.

Role Overview

We’re looking for an experienced Enterprise Analytics Architect to design and lead scalable, high-impact analytics solutions across the organization. This is a strategic role at the intersection of technology, business, and data , ideal for someone passionate about enterprise data strategy, analytics platforms, and cloud innovation.

• ? What You'll Do

Architecture & Strategy

• Develop and maintain enterprise analytics architecture (data models, reporting platforms, integration frameworks).
• Design secure, scalable data solutions leveraging modern tools (cloud, big data, ML frameworks).
• Align analytics efforts with business objectives and IT strategy.

Leadership & Collaboration

• Partner with business, IT, and data teams to drive data-driven decision-making.
• Provide technical leadership and mentorship to analytics and data engineering teams.
• Act as SME in analytics platforms, governance, and BI strategy.

Execution & Optimization

• Lead the development of ETL / ELT pipelines and enterprise data integration.
• Ensure high data quality, compliance, and performance.
• Continuously optimize systems for cost-efficiency and scalability.

Governance & Innovation

• Establish architecture standards and best practices across teams.
• Maintain clear documentation of data flows, systems, and decisions.
• Evaluate and recommend emerging technologies to stay ahead of the curve.

✅ What We're Looking For

• 12–15 years in enterprise data architecture, analytics, or BI.
• Proven track record designing mission-critical analytics platforms.
• Strong experience with cloud platforms (AWS, Azure, GCP), data modeling , and big data tech .
• Proficiency in SQL, Python, R , and visualization tools (Power BI, Tableau, SAP SAC).
• Understanding of machine learning tools and frameworks.
• Strong communication skills and stakeholder management.
• Certifications (Preferred) : TOGAF, AWS / GCP / Azure Architect, SAP BI, CISSP, etc.
• Education : Bachelor’s or Master’s in Computer Science, Data, or related field.

Privacy Notice Declarations for California based candidates / Jobs : : life-at-bristlecone / #careers