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Specialist - Program & Project Management
LTM
- ๐บ๐ธ 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
4 weeks ago
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