AIPowered Power BI Engineer

Role Description AIPowered Power BI Engineer

Torrance CA Onsite

Job Summary The AIPowered Power BI Engineer is responsible for leveraging Artificial Intelligence AI Microsoft Copilot Large Language Models LLMs and modern analytics platforms to rapidly design develop and maintain Power BI reports dashboards and analytical solutions

This role combines expertise in Power BI data modeling DAX and AIassisted development to transform business requirements into executiveready reporting solutions with significantly reduced development effort and improved business insight generation The engineer acts as both a Power BI developer and an AI workflow orchestrator using AI tools to automate report creation documentation testing visualization design and narrative insight generation

Key Responsibilities

1 AIDriven Report Development 30

Use Microsoft Copilot Power BI Copilot ChatGPT Claude and other approved AI tools to generate report prototypes dashboard layouts DAX formulas KPIs and visualization recommendations

Translate business requirements into Power BI reports using prompt engineering and AIassisted design techniques

Automate dashboard creation report documentation and metadata generation

Utilize AI to identify reporting opportunities trends anomalies and predictive insights

2 Power BI Dashboard Engineering 25

Design develop and deploy executive operational and analytical dashboards

Create reusable reporting templates and visualization standards

Build interactive scorecards KPI dashboards and selfservice BI solutions

Deliver modern user experiences focused on business decisionmaking

3 Semantic Modeling Analytics 15

Design and maintain Power BI semantic models

Develop advanced DAX calculations measures and KPIs

Implement dimensional models using star and snowflake schemas

Optimize datasets for performance and scalability

4 Data Integration Automation 10

Connect Power BI to AWS Azure DataHub Snowflake SQL Server Oracle and other enterprise data sources

Develop automated data ingestion transformation and reporting pipelines

Leverage Python SQL Power Automate and Fabric capabilities to automate reporting processes

5 AI Insights Business Storytelling 10

Utilize AI capabilities to generate narrative insights and executive summaries

Develop natural language query NLQ solutions

Enable business users to interact with data using conversational analytics

Create automated insight generation capabilities within Power BI

6 Governance Security Quality 10

Implement RowLevel Security RLS data governance and lineage tracking

Ensure compliance with enterprise reporting standards

Validate AIgenerated outputs for accuracy and business relevance

Establish AI governance practices for reporting solutions

Required Qualifications Education

Bachelors degree in Computer Science Information Systems Data Analytics Engineering or equivalent experience

Experience 5 years of Power BI development experience

2 years of practical experience leveraging AI technologies in analytics or software development

Experience developing enterprisescale dashboards and reporting platforms

Experience working with cloud data platforms AWS Azure Microsoft Fabric

Technical Skills

Power BI Expertise

Advanced Power BI development

Advanced DAX and Power Query

Semantic modeling

Report performance optimization

Dataflows and Fabric

AI Automation Skills

Microsoft Copilot

Power BI Copilot

Prompt Engineering

Generative AI LLM technologies

AIassisted software development

Conversational analytics

Agentic AI concepts

Data Integration Skills

SQL

Python

Data Warehousing

ETLELT development

AWS and Azure analytics services

API integrations

Preferred Qualifications Microsoft Fabric certification

Power BI Data Analyst PL300

Azure AI Engineer certification

Experience building AI agents and copilots

Experience integrating Power BI with enterprise AI platforms

Experience creating executive dashboards for large organizations

Success Metrics KPIs

Reduction in report development effort through AIassisted delivery

Dashboard delivery cycle time

User adoption and engagement

Report quality and accuracy

Percentage of reporting assets generated or accelerated through AI automation

Executive stakeholder satisfaction

Reuse of semantic models and AIgenerated accelerators

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.