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Principal Consultant - Data & AI Transformation

Nityo Infotech CorporationPlano, TX🇺🇸United StatesPosted Sep 28, 2026

Quick Overview

Seniority
Leader
Work mode
Hybrid
Location
Plano, TX, United States
Posted
Yesterday
AWSBusiness DevelopmentContinuous ImprovementDatabricksStakeholder Management

Job Description

Job Role: Principal Consultant - Data & AI Transformation

Job Location: Plano, TX

Job Type: Full Time

Required Skill and Experience:

  • Strong consulting and stakeholder management skills.
  • Experience in playing Account anchor for medium size account
  • Program and project management expertise.
  • Problem-solving and analytical thinking.
  • Business process transformation experience.
  • Executive communication and presentation skills.
  • Domain expertise in one or more industries (Automotive, Manufacturing,.)
  • Data Strategy and Modern Data Platform consulting
  • Databricks and AWS solution architecture
  • AI/GenAI and Analytics transformation
  • Data Governance and Data Quality programs
  • RFP solutioning, estimations, staffing, and executive stakeholder management

Key Responsibilities

Client Engagement & Consulting

  • Understand client business challenges and define transformation roadmaps.
  • Provide advisory services and recommend business and technology solutions.
  • Act as a trusted advisor to senior client stakeholders.
  • Conduct workshops, assessments, and solution discussions.

Delivery Leadership

  • Lead end-to-end consulting engagements.
  • Ensure quality, budget, schedule, and stakeholder expectations are met.
  • Manage risks, dependencies, and escalations.
  • Drive successful program execution across distributed teams

Business Development

  • Support RFPs, proposals, estimations, and solution creation.
  • Identify growth opportunities within existing accounts.
  • Contribute to revenue growth and consulting practice development.
  • Participate in client presentations and pursuit discussions

Team & Practice Leadership

  • Mentor consultants and project teams.
  • Build consulting capabilities and reusable assets.
  • Share domain knowledge and best practices.
  • Drive innovation, AI adoption, and continuous improvement initiatives.

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