Process Excellence Lead
Infogain
- Location
- Pune/Pimpri-Chinchwad Area
- Job type
- Full-time
Required skills
- Python
- Lean Six Sigma
- Agile
- forecasting
- machine learning
- Pandas
- predictive analytics
- Prism
- prototypes
- statistics
- Power Automate
About the role
Infogain
Website:
infogain.com
Job details:
- Data-Driven Process Discovery: Deploy Process Mining tools (e.g., Celonis, UiPath) to scientifically reconstruct "as-is" processes, identify bottlenecks, and quantify variation without relying solely on interviews.
- Intelligent Automation Strategy: Identify high-value opportunities for Hyperautomation, combining RPA (Robotic Process Automation) with AI/ML components for cognitive tasks (e.g., intelligent document processing, predictive analytics).
- Process Re-engineering: Lead Kaizen events and DMAIC projects to eliminate waste and standardize processes prior to automation; ensure "garbage in, garbage out" is avoided.
- AI/ML Integration: Work with data scientists and developers to implement AI-enabled solutions, such as predictive cash forecasting models or anomaly detection in the General Ledger.
- Benefit Realization: rigorously track and validate savings (FTE release, hard cost savings, error reduction) resulting from process improvements and automation.
- Change Management: Facilitate the cultural shift towards continuous improvement and digital adoption; train functional teams on new automated workflows.
- Governance & Documentation: Maintain a repository of updated SOPs that reflect the new human-machine hybrid workflows; ensure bots and AI models are governable and auditable.
Qualification:
- Education: Bachelor’s degree in Engineering, Statistics, Math, or Business. Master’s preferred.
- Certifications: Lean Six Sigma Black Belt certification from a reputable organization (ASQ, etc.) is mandatory.
- Experience: 10-12 years of experience in Process Excellence, with a strong focus on Digital Transformation in Finance/Shared Services.
- AI/Automation: Proven experience delivering projects involving RPA and AI/Machine Learning integration.
Technical Skills:
- Process Mining: Hands-on expertise with Celonis, UiPath Process Mining, or Signavio.
- RPA Platforms: Strong knowledge of UiPath, Blue Prism, or Automation Anywhere (architecture and capabilities).
- Data & AI:Familiarity with Python (pandas, scikit-learn) for data analysis; experience with Power Automate and AI Builder.
- Statistical Analysis: Proficiency in Minitab or JMP.
Core competencies:
- Innovation Mindset:Ability to look beyond traditional CI methods and leverage technology for step-change improvements.
- Technical Translation: Ability to explain complexAI/ML concepts to non-technical finance stakeholders.
- Analytical Rigor: Commitment to data-backed decision making.
- Project Leadership: Ability to manage agile automation squads and deliver rapid prototypes/MVPs.
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