This is the person who will spearhead a data modernization program for VASCOR Logistics ( and lead a data team from India. Essential Skills and Experience

Proven, hands-on experience is the primary requirement for this role. Experience:

- 15+ years of professional experience, including 10+ years in senior data and cloud architecture roles.
- Has personally led, from design through cutover, the modernization of a large enterprise data estate (legacy SQL Server, SSIS, SSAS, and reporting) onto a up-to-date cloud platform such as Microsoft Fabric or Azure.
- Deep hands-on expertise in Microsoft Fabric, Azure, Power BI, and medallion (Bronze/Silver/Gold) architecture.
- 5+ years in applied machine learning or AI, including generative-AI and agent solutions shipped to production for real users.
- Complete fluency in English, spoken and written.
- S. visa.

Leads: the full data modernization program, from India.

Direct reports (proposed): Lead Data Engineer, Data Governance Lead, and the senior Project Coordinator/Manager. Decides: platform design and technical standards, program priorities (including which AI use cases come first), sequencing of migration work, and build-versus-buy calls on tooling.

Gurugram first 6-month office based. After that in hybrid mode





Set the technical direction for the new data platform, including how AI will run on it, and keep the design consistent across the team.

- Review and approve major designs from the Lead Data Engineer, ETL Engineers, and BI Developers before they are built.
- Run a weekly leadership meeting with the direct reports, and a monthly review of milestones, risks, and budget with the executive sponsor.
- Agree the order of migration with the business units, based on business value and data readiness, and agree with them which AI use cases come first.
- Work with the Data Governance Lead so that catalog, ownership, and access rules (and responsible-AI rules) are in place before data is released to the business.
- explain trade-offs in plain language.
- Performance Measures
- Governance foundation (catalog, data domains, stewards) in place on the planned timeline.
- First AI use cases delivered on plan: prototypes by Months 4-6, first AI feature by Months 7-9.
- Hiring plan adherence: roles filled per wave, and quality of hires (retention and ramp time).
- Platform performance against design targets once live (query latency, mirroring lag, uptime).

📌 Senior AI/ML Solution Architect (Gurugram)
🏢 VASCOR Logistics
📍 Gurugram