Lead Process Mining Consultant

Keasis; New York (NY); On-site; USD 160,000 - 220,000; Full time

Job summary

Keasis in New York, NY seeks a Lead Process Intelligence (Celonis) Engineer to guide multiple implementation teams while remaining hands-on. You will develop, review, and deploy Celonis-based PI solutions, translating business requirements into robust technical designs.

Responsibilities include data-extraction pipeline governance, using out-of-the-box and custom connectors, and integrating Celonis with ERP systems. Strong SQL/Vertica skills and team leadership are essential.

Qualifications

• 12+ years data engineering/analytics experience.

Responsibilities

• Lead multiple Celonis implementation teams across client engagements.
• Remain hands-on and technically credible: develop, review, and deploy Process Intelligence solutions using Celonis.
• Collaborate with stakeholders to gather requirements and translate into technical specs.
• Govern data extraction pipelines with out-of-the-box and custom connectors.
• Drive optimization of data pipelines and analyze process data to identify inefficiencies.

Skills

Celonis knowledge

Team leadership

Stakeholder management

SQL / data modeling

AI/ML in PI

Education

BE/BTech/MS/MTech

Tools

Vertica SQL

SAP ECC

S4 HANA

Oracle EBS

Job description

• Lead multiple Process Intelligence (Celonis) implementation teams across concurrent client engagements.
• Remain hands-on and technically credible – develop, review, and deploy Process Intelligence solutions using Celonis.
• Collaborate with stakeholders to gather requirements and translate them into technical specifications.
• Govern the setup of data extraction pipelines with both out-of-the-box connectors as well as building custom connectors.
• Strong working knowledge of Celonis ETL capabilities – Extraction, SQL Transformations, Data Pools and Data Jobs.
• Experience working with Vertica SQL to create custom activities in Celonis.
• Drive optimization of the performance of data pipelines.
• Analyze process data to identify inefficiencies and recommend improvements.
• Mentor and guide team members across workstreams; review deliverables and enforce build standards.
• Provide delivery updates, risks, and dependencies to programme leadership.

Technical Qualifications / Skills

• Strong working knowledge of Knowledge Models, Views, Analysis.
• Strong working knowledge of Celonis front end functions – PQL, PU functions.
• Develop the integration of Process Intelligence tools with existing systems.
• Serve as a liaison for the business analyst, project manager and client.
• Lead discussions on operationalization of Celonis through usage of Action Flows, Action Views and Machine Learning capabilities.
• Well versed with latest AI capabilities for Process Intelligence in Celonis.
• Keen learner and up to date with latest capabilities of Celonis.

Business / Soft skills Qualifications / Skills

• Understanding the business requirements thoroughly to identify the technical requirements.
• Taking Initiative (Resourcefulness) and asking clarifying questions to ensure the build is robust and designed on best practices.
• Focusing on Performance (Ensures Accountability, Delivers consistent results) across multiple teams.
• Ensures sufficient unit testing before releasing the build for functional testing.
• Ability to operate independently in a contracting model with minimal onboarding ramp-up.
• Must have a minimum of 12+ years Data Engineer/analytics, Experience in working SQL and relational databases, query authoring (SQL).
• Demonstrated experience running multiple teams alongside hands-on technical delivery.
• Previous work experience in ERP (SAP ECC / S4 HANA / Oracle Cloud / Oracle EBS R12) with strong process understanding knowledge.

Preferred qualifications

• BE/BTech (or MS/MTech) degree or equivalent, Computer Science/ Mathematics/ Physics or related.
• Strong communications skills to enable interaction with all levels and departments within the organization.
• Proven analytic skills, including mining, evaluation, analysis, and visualization.