Top Tech Jobs & Startup Jobs in Pune

Supports contract intake, validation, and translation into SAP customer project, WBS, and billing structures. Maintains billing plans, records, audit trails, exception logs, and setup trackers while collaborating with Sales, Delivery, Finance, and Legal. Reviews contract terms, identifies issues, supports operational reporting, and ensures compliance with SOPs, governance standards, and revenue recognition processes including ASC 606 and IFRS 15.

Develop market strategy, portfolio direction, positioning, messaging, thought leadership, and sales enablement for ZS offerings. Analyze market, customer, competitor, portfolio, and campaign performance data to generate recommendations. Partner with business leaders, consulting teams, subject matter experts, and marketing functions to align audiences, narratives, and go-to-market plans. Own workstreams, coordinate stakeholders, manage deliverables, and create executive-ready strategic materials.

Develop statistically effective algorithms and apply machine learning, hypothesis testing, data mining, and retrieval techniques to analyze complex datasets. Identify trends, create visualizations, communicate findings to clients and stakeholders, and evaluate emerging datasets and technologies. The role requires collaboration across consulting and analytics teams, with opportunities to build scalable solutions using generative AI, deep learning, big data, and cloud technologies.

Leads large-scale technology consulting and digital transformation programs for Life Sciences clients. Responsibilities include solution strategy, delivery governance, stakeholder management, enterprise data and AI implementations, client advisory, proposal development, account expansion, and global team leadership. The role requires expertise in Databricks or Snowflake, Medallion Architecture, cloud data platforms, Generative AI, Agentic AI, and intelligent automation, along with the ability to connect business strategy to technology execution.

Manages software license assignments, usage reviews, audit reports, chargebacks, asset records, purchase orders, invoice validation, vendor coordination, and CMDB updates. The role also maintains project data, prepares reports and presentations, and follows up on open issues. Candidates should have IT asset management or operations experience, software license and invoice processing knowledge, strong Microsoft Office skills, and preferably ServiceNow and SAP experience.

Support enterprise identity and access management operations, including user lifecycle management, provisioning, privileged access, Active Directory, Entra ID, MFA, Conditional Access, SSO, federation, and authentication troubleshooting. Automate IAM processes using PowerShell, Python, and REST APIs; support security remediation, documentation, incident resolution, change management, and SLA compliance. Collaborate with IT and security teams and provide technical guidance to junior staff.

Leads client-facing AI and digital transformation engagements from strategy through implementation and adoption. Manages cross-functional teams building enterprise Generative AI, Agentic AI, machine learning, and analytics solutions. Advises senior stakeholders, develops client relationships, supports business development, manages budgets and vendors, ensures engineering and architecture quality, hires and mentors talent, and drives AI scaling initiatives across consulting engagements.

Leads client-facing technology consulting engagements for manufacturing and industrial operations. Responsibilities include OT and industrial data strategy, solution architecture, SDLC delivery, Unified Namespace and data-layer design, client relationship management, account expansion, cross-functional team leadership, validation, change management, and ROI delivery. The role requires deep expertise in plant-floor systems, industrial connectivity, cloud, data engineering, and life-sciences or pharmaceutical manufacturing.

Leads the architecture, delivery, and evolution of scalable AI platforms and GenAI services. Manages and mentors engineering teams, oversees backend development using Python frameworks, guides LLM integrations and agentic workflows, establishes engineering standards, and owns technical delivery across multiple services. Partners with Product, AI/ML, DevOps, Data Engineering, and Consulting teams while ensuring production reliability, observability, security, and long-term platform sustainability.

Leads AI-enabled analytics engineering and commercial analytics workstreams for life-sciences and other clients. Builds Databricks insight pipelines, agentic LLM workflows, conversational analytics, evaluation harnesses, governed data products, and production-quality software. Structures ambiguous business questions, applies advanced analytical methods, integrates complex data sources, and translates findings into decisions and client-ready deliverables. Manages and coaches teams of 2–4, oversees quality and delivery risks, supports client stakeholders, and contributes to proposals and capability development.