Join Deloitte's Technology and Urban Advisory teams to drive the creation of integrated geospatial and urban data ecosystems. This role focuses on enhancing planning, infrastructure management, and evidence-based decision-making.

We are seeking a skilled GIS, Digital Twin, and Urban Data Platform Expert to spearhead enterprise GIS initiatives, design urban data architecture, and prepare implementation-ready Detailed Project Reports (DPRs) for critical state projects. These include the Uttarakhand Urban Data Highway, State Urban Observatory, and Urban Digital Twin initiatives.

The ideal candidate will possess extensive experience in enterprise GIS, spatial databases, and advanced 3D city modeling. A proven track record in government assignments is essential for this impactful role.

Lead the development and implementation of enterprise GIS solutions. Design and architect robust urban data platforms and digital twin models. Prepare comprehensive Detailed Project Reports (DPRs) and solution designs for urban data initiatives. Integrate GIS with e-governance and municipal applications, ensuring seamless data flow. Manage and oversee data governance frameworks, master data design, and API integrations. Collaborate with diverse stakeholders to drive project success and facilitate multidisciplinary coordination. Present findings and project updates effectively to stakeholders.

Requires a minimum of 7 years of relevant professional experience in enterprise GIS, spatial databases, 2D/3D city models, digital twins, urban data platforms, or urban observatories. Must have completed at least one government assignment for a State/UT, ULB, or Smart City. Essential experience includes data-governance frameworks, master-data design, APIs, and integrating GIS with e-governance or municipal applications (e.g., UPYOG/DIGIT). Familiarity with spatial analytics, data inventories, common data standards, platform architecture, and system integration is highly beneficial. Strong capabilities in technical writing, stakeholder consultation, and presentation are required. Academic qualifications include a Graduate or Postgraduate degree in Geoinformatics, Remote Sensing, GIS, Computer Science, Planning, or Civil Engineering. A postgraduate degree or diploma in Geomatics or Spatial Data Science is also considered.