Top Tech Jobs & Startup Jobs in Pune

Provides operational support for localization tools, AI translation solutions, and voice platforms. Responsibilities include onboarding and training users, maintaining documentation, troubleshooting workflow issues, coordinating with vendors, and responding to stakeholders across a global organization. The role requires hands-on localization workflow experience, familiarity with at least one TMS, strong English communication, independent problem-solving, and adaptability in a dynamic environment.

Configure, support, and optimize Workday HCM across global and local requirements. Gather HR business needs, build reports and dashboards, manage releases, enhancements, testing, change control, and system integrity. Serve as a functional consultant to stakeholders, support troubleshooting and process improvements, and provide documentation, training, and knowledge transfer to support teams.

Designs, develops, maintains, and troubleshoots Workday integrations, reports, dashboards, and security configurations. Supports payroll, benefits, recruiting, financial, time, absence, talent, and performance processes. Translates HR requirements into Workday solutions, manages releases, investigates integration and reporting issues, documents technical processes, and supports SOX audits, access reviews, and change control while collaborating with cross-functional stakeholders and middleware teams.

Develop and onboard strategic partners, build partnership pipelines, generate new business opportunities, and support partner-led revenue growth. The role involves stakeholder relationship management, partner enablement, forecasting, reporting, industry events, and collaboration across internal teams. Success is measured by new partner acquisition, pipeline creation, revenue generation, onboarding, engagement, and achievement of business objectives.

Own the Workday HCM product strategy, roadmap, release governance, and adoption programs. Prioritize new functionality and AI capabilities, coordinate release readiness across HR and technology teams, develop business cases, define KPIs, and measure business value. The role partners with HR, analytics, legal, privacy, security, Workday, and other stakeholders to improve employee and manager experiences and guide responsible adoption of emerging capabilities.

Leads a team of scientific data analysts supporting Reaxys, Embase, and future AI-enabled life sciences platforms. Oversees search and API quality, data discoverability, testing, feature releases, quality standards, and customer-focused insights. Uses scientific expertise, Python and Bash scripting, databases, cloud platforms, and AI-enabled testing workflows to improve data integrity and platform performance. Coordinates stakeholders, documents work, presents findings, and drives cross-functional projects.

Leads global Analytical Editorial Operations across a 150-person organization, setting strategy, operating models, budgets, quality standards, and performance measures. Drives GenAI-enabled content transformation, including Agentic Content Platform adoption and automated updating, while improving content currency, retrieval quality, customer outcomes, and operational efficiency. Partners with Product, Technology, Data Science, commercial, and editorial stakeholders; manages authors, vendors, workforce development, organizational change, and financial performance.

Drive full-cycle sales for complex, high-value AI research workspace opportunities. Originate and close new business, support strategic renewals, expand stakeholder relationships, lead value-based workshops, and translate AI and research analytics capabilities into measurable customer outcomes. Engage senior decision-makers across enterprise, government, academic, and research organizations while developing pipelines, territories, business cases, negotiations, and long-term account growth.

Leads the UK&I Data Engineering team, setting technical strategy and overseeing delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities. Drives Azure and Databricks cloud modernization, data governance, security, privacy, compliance, and AI adoption. Responsibilities include team leadership, talent development, workforce planning, cross-functional stakeholder management, and collaboration with global engineering, product, analytics, architecture, and operations teams.