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Specialist - Program & Project Management

LTM
  • ๐Ÿ‡บ๐Ÿ‡ธ United States
  • On-site
  • Senior
  • 4 weeks ago
  • AI
  • Machine Learning
  • AI/ML
  • Agile
  • Scrum
  • ETL
  • ELT
  • Data Modeling
  • SQL
  • Databricks
  • Snowflake
  • AWS
  • GCP
  • Power BI
  • Tableau
  • Natural Language Processing
  • Large Language Models
  • RAG
  • Risk Management
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Role Overview

We are seeking an experiencedSenior Business Analyst with strong expertise inData Technologies and a deep understanding ofArtificial 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 shouldpossess 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

Specialist - Program & Project Management ยท LTM

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