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Engineering leader managing product engineering teams for advanced packaging technologies at Intel. Focus on quality, cost optimization, and operational excellence with a competitive salary.
About the role
- Analytical Engineering Manager leading data modelling and governance within Collinson's analytics team in Mumbai. Partnering with data engineering to optimize data delivery standards and practices.
Responsibilities
- Lead, mentor, and develop an analytical engineering team focused on modelling standards, quality, and reusability.
- Partner with the Principal Data Engineer to co-own end-to-end data delivery — from foundational pipelines through to analytical data layers.
- Shape career growth, training, and performance pathways that develop deep data craftsmanship within the team.
- Foster a culture of collaboration between data engineering, governance, and analytics — aligning priorities through shared objectives.
- Define and embed best practices in data modelling, including standards for naming, documentation, and business logic representation.
- Lead the design of subject-area models and data contracts that form the foundation for reporting, AI, and personalization.
- Champion the evolution toward a semantic and governed analytical layer, ensuring traceability from raw data to business outcomes.
- Partner with Product, Analytics, and Technology teams to translate business concepts into consistent, reusable data assets.
- Maintain high standards of quality and simplicity in data design — prioritizing clarity, trust, and performance over complexity.
- Work hand-in-hand with the Principal Data Engineer to align platform evolution, modelling standards, and delivery governance.
- Contribute to the Data & Analytics strategy and roadmap, ensuring analytical engineering practices scale with Collinson’s data ambitions.
- Represent analytical engineering in cross-functional forums, advocating for trusted data, lineage, and definition alignment.
- Partner with Governance, Data Science, and BI teams to ensure analytical models meet the needs of both operational and strategic insight.
Requirements
- Proven experience leading data or analytics engineering teams within a modern cloud data platform.
- Deep understanding of data modelling principles, including dimensional and domain-driven design.
- Experience shaping and governing semantic or analytical layers that underpin enterprise analytics.
- Strong partnership skills — particularly in co-leading design and delivery alongside technical peers.
- Excellent communication and stakeholder management across business, data, and technology teams.
- A passion for quality, maintainability, and clarity in analytical data design.
- Exposure to data contracts, metadata management, or data governance frameworks (desirable).
- Awareness of analytics enablement in AI-driven or personalization contexts (desirable).
- Experience working with agile data teams balancing short-term delivery with long-term architecture (desirable).
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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