
Job Overview
Location
Bangalore, India
Job Type
Full-time
Category
Data Science
Date Posted
May 25, 2026
Full Job Description
đź“‹ Description
- • Translate customers’ strategic objectives into high-impact Celonis use cases by identifying process inefficiencies and aligning them with AI-driven Process Intelligence solutions.
- • Build and deliver proof-of-value projects and business cases using Celonis’ Process Intelligence Platform to demonstrate measurable ROI to C-level executives.
- • Conduct value workshops with cross-functional customer teams to uncover opportunities for process enhancement in healthcare and life sciences operations.
- • Prototype and demonstrate AI-enhanced process solutions by integrating Celonis technology with market-leading platforms such as Microsoft and OpenAI.
- • Drive end-to-end customer value realization—from initial discovery and adoption to expansion and renewal—by embedding Celonis as a strategic business transformation platform.
- • Collaborate with Celonis Services and ecosystem partners to scale solutions across enterprise accounts and accelerate platform adoption.
- • Present data-driven insights and realized business outcomes to senior stakeholders, translating technical findings into executive-level strategic recommendations.
- • Leverage domain expertise in healthcare and life sciences to tailor process improvement measures for supply chain, manufacturing, clinical operations, or financial processes within the sector.
- • Use SQL and Python to analyze operational data, build dashboards, and automate action flows that support process optimization and decision-making.
- • Provide product feedback to Celonis R&D teams based on real-world customer use cases to enhance platform capabilities and industry-specific apps.
- • Manage multiple concurrent projects with varying timelines and stakeholder expectations, ensuring alignment with customer goals and Celonis’ value delivery framework.
- • Act as a change agent by training process owners and users to adopt new workflows, sustain improvements, and institutionalize process intelligence across the organization.
- • Engage with IT and business teams to ensure seamless integration of Celonis with existing enterprise systems such as SAP and Oracle.
- • Maintain deep familiarity with Process Mining technologies and apply industry benchmarks to validate and prioritize improvement opportunities.
- • Support the expansion of Celonis’ footprint by identifying upsell and cross-sell opportunities within existing accounts through continuous value demonstration.
🎯 Requirements
- • 4+ years of experience in analytical, consulting, or sales engineering roles focused on demonstrating business value through data analysis, process improvement, or software deployment
- • Proven experience in customer-facing roles within SaaS, business software, or management consulting environments
- • Hands-on experience with SQL and Python, and familiarity with BI tools, RPA, or process mining technologies
- • Demonstrated ability to build business cases, conduct value assessments, and present results to C-level executives
- • Experience in healthcare or life sciences industry processes (e.g., supply chain, manufacturing, finance, clinical operations)
- • Strong project management skills with ability to handle multiple projects across different stages of the customer value journey
🏖️ Benefits
- • Restricted Stock Units (RSUs) and merit-based refresh grants for all full-time employees
- • 24 weeks of fully paid parental leave for primary carers and 12 weeks for supporting carers, available from day one
- • Unlimited PTO in applicable regions and generous PTO globally with a flexible hybrid work model
- • Subsidized Wellhub memberships, mental health counseling, and dedicated Wellness Weeks
- • Access to a 70-20-10 learning framework, mentorship programs, and a dedicated learning platform
- • Paid time off for annual Impact Days to volunteer for community and environmental causes
Skills & Technologies
About Celonis SE
Celonis SE offers a process mining platform that extracts data from enterprise systems such as SAP, Oracle, and Salesforce to visualize, analyze, and optimize business processes in real time. Its Execution Management System applies machine learning and automation to reveal inefficiencies, reduce costs, and improve compliance across finance, supply chain, customer service, and IT operations. Founded in 2011 and headquartered in Munich, Germany, the company serves Fortune 500 organizations worldwide through cloud and on-premise deployments.
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