Lead Process Mining Consultant

Keasis

New York (NY)

On-site

USD 160,000 - 220,000

Full time

7 days ago
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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.
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