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Specialist - Program & Project Management

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Onsite

Specialist - Program & Project Management

LTM Limited

Specialist - Program & Project Management

Skills

Google Cloud PlatformSQL QueriesBig DataData EngineeringTableauData ScienceKnowledge ManagementSnowflakeDatabricksData AnalysisMachine LearningAIAWSNLP / Natural Language ProcessingRisk ManagementPower BIAzure

13 days ago

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Important information


Salary:

$92,432 – $136,600 / year

Location:

Newark, NJ, USA

Work mode:

Onsite

Published on:

13 October 2026

What they need


Role description

Role Overview

We are seeking an experienced Senior Business Analyst with strong expertise in Data Technologies and a deep understanding of Artificial Intelligence (AI) and Generative AI solutions. The ideal candidate will act as a bridge between business stakeholders and technology teams, driving data-driven transformation initiatives, AI adoption, and strategic business outcomes.

The candidate should possess strong analytical skills, experience working with large-scale data platforms, and the ability to translate business requirements into actionable data and AI solutions.

Key Responsibilities

  • Collaborate with business stakeholders to gather, analyze, and document business requirements, functional specifications, and user stories.
  • Lead requirement discovery workshops and facilitate discussions between business and technical teams.
  • Analyze business processes, identify improvement opportunities, and recommend data-driven solutions.
  • Work closely with Data Engineering, Data Science, AI/ML, and Product teams to deliver scalable solutions.
  • Define business KPIs, success metrics, and data governance requirements.
  • Prepare BRDs, FRDs, process flows, use cases, and data mapping documents.
  • Support Agile/Scrum ceremonies, backlog prioritization, and sprint planning activities.
  • Perform impact analysis and ensure traceability throughout the project lifecycle.
  • Drive AI and analytics initiatives by identifying business use cases and value realization opportunities.
  • Partner with stakeholders to define AI adoption strategies, responsible AI practices, and operational processes.

Data Technology Expertise

  • Strong understanding of:
    • Data Warehousing concepts
    • Data Lakes and Lakehouse architectures
    • ETL/ELT frameworks
    • Data Modeling (Dimensional & Relational)
    • Data Governance and Data Quality
    • Master Data Management (MDM)
    • Big Data technologies and cloud-native data platforms
  • Experience with:
    • SQL and advanced data analysis
    • Databricks
    • Snowflake
    • Azure Data Platform / AWS Data Services / GCP
    • Power BI, Tableau, or similar BI tools
    • Data lineage and metadata management tools

AI & Generative AI Knowledge

  • Strong understanding of:
    • Machine Learning lifecycle and concepts
    • NLP (Natural Language Processing)
    • Generative AI and Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Prompt Engineering
    • AI Agents and Agentic Workflows
    • AI Governance, Responsible AI, and Model Risk Management
  • Experience identifying and documenting AI use cases involving:
    • Intelligent Automation
    • Conversational AI
    • Knowledge Management
    • Predictive Analytics
    • Recommendation Systems
    • Document Intelligence
    • AI-powered Business Process Optimization

Skills

Other details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

  • Comprehensive Medical Plan Covering Medical, Dental, Vision
  • Short Term and Long-Term Disability Coverage
  • 401(k) Plan with Company match
  • Life Insurance
  • Vacation Time, Sick Leave, Paid Holidays
  • Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Benefits
Compensation range: $92432 to $136,600.00 per year
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert

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