Job description

Must Have Technical/Functional Skills • 8+ years of experience in software engineering, analytics, business intelligence, or AI application development. • Hands-on experience with Microsoft Fabric, including OneLake, Lakehouse or Warehouse, Power BI semantic models, and Power BI Embedded. • Working knowledge of Fabric IQ concepts, including ontologies, business entities, relationships, graph-based context, and agent-ready semantic layers. • Strong experience developing modern web applications using React 18.x or 19.x, TypeScript, JavaScript, reusable UI components, and REST APIs. • Experience building AI-led reports and AI-embedded analytics, including natural-language interaction, automated narratives, anomaly or trend explanations, recommendations, and conversational analytics. • Hands-on experience with Azure OpenAI or comparable large language model services, prompt engineering, retrieval-augmented generation, semantic search, and AI evaluation. • Strong understanding of report discovery, persona and use-case analysis, KPI definition, data lineage, semantic modeling, and report rationalization. • Ability to rapidly prototype 2 to 3 high-value reports and convert discovery findings into epics, features, user stories, acceptance criteria, estimates, dependencies, and a prioritized backlog. • Experience defining reusable architecture patterns, report templates, React components, prompt libraries, semantic models, and governance controls for enterprise-scale adoption. • Strong SQL skills; proficiency in Python or C# is preferred. Experience integrating structured and unstructured enterprise data is desirable. • Excellent facilitation, stakeholder management, communication, and storytelling skills for both technical and executive audiences. Roles & Responsibilities • Lead discovery workshops with business, product, data, UX, security, and technology stakeholders to understand current reports, decisions supported, user journeys, pain points, KPIs, data sources, and regulatory constraints. • Assess the existing reporting landscape and classify reports for modernization, consolidation, redesign, reuse, or retirement using agreed business-value, complexity, risk, and usage criteria. • Select and develop an initial set of 2 to 3 representative AI-powered report prototypes that demonstrate measurable business value and establish reusable implementation patterns. • Design AI-led reports that proactively surface insights, drivers, trends, exceptions, contextual narratives, and recommended next actions instead of presenting static metrics alone. • Build AI-embedded report experiences in React and Power BI Embedded, including conversational interfaces, natural-language exploration, guided analysis, explainable insights, and role-aware experiences. • Develop and align Fabric IQ ontologies, Power BI semantic models, business definitions, relationships, rules, and actions so reports and AI agents use consistent enterprise context. • Integrate enterprise data from Microsoft Fabric, APIs, lakehouse or warehouse platforms, operational systems, documents, and approved knowledge sources while maintaining security and lineage. • Validate prototypes with end users through demonstrations and structured feedback; document business outcomes, functional gaps, technical constraints, adoption considerations, and lessons learned. • Translate discovery and prototype findings into a delivery-ready backlog containing epics, capabilities, featu res, user stories, acceptance criteria, technical enablers, non-functional requirements, dependencies, risks, and prioritization rationale. • Define the roadmap and scalable delivery approach for expanding from the initial prototypes to an approximately 3,000-report estate, including waves, report archetypes, reusable accelerators, automation opportunities, quality gates, and governance. • Establish development standards for React components, embedded analytics, prompts, semantic models, AI evaluation, accessibility, observability, testing, deployment, and responsible AI. • Collaborate with product owners and delivery teams on planning, estimation, release sequencing, sprint execution, demos, documentation, and knowledge transfer. • Measure outcomes such as adoption, decision-cycle improvement, report consolidation, insight quality, response accuracy, performance, and reuse of common assets. Salary Range: $110,000-$130,000 a year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1 </div

Requirements

Must-haves

Must Have Technical/Functional Skills
8+ years of experience in software engineering, analytics, business intelligence, or AI application development.
Hands-on experience with Microsoft Fabric, including OneLake, Lakehouse or Warehouse, Power BI semantic models, and Power BI Embedded.
Working knowledge of Fabric IQ concepts, including ontologies, business entities, relationships, graph-based context, and agent-ready semantic layers.
Strong experience developing modern web applications using React 18.x or 19.x, TypeScript, JavaScript, reusable UI components, and REST APIs.
Experience building AI-led reports and AI-embedded analytics, including natural-language interaction, automated narratives, anomaly or trend explanations, recommendations, and conversational analytics.
Hands-on experience with Azure OpenAI or comparable large language model services, prompt engineering, retrieval-augmented generation, semantic search, and AI evaluation.
Strong understanding of report discovery, persona and use-case analysis, KPI definition, data lineage, semantic modeling, and report rationalization.
Ability to rapidly prototype 2 to 3 high-value reports and convert discovery findings into epics, features, user stories, acceptance criteria, estimates, dependencies, and a prioritized backlog.
Experience defining reusable architecture patterns, report templates, React components, prompt libraries, semantic models, and governance controls for enterprise-scale adoption.
Excellent facilitation, stakeholder management, communication, and storytelling skills for both technical and executive audiences.
Roles & Responsibilities
Assess the existing reporting landscape and classify reports for modernization, consolidation, redesign, reuse, or retirement using agreed business-value, complexity, risk, and usage criteria.
Select and develop an initial set of 2 to 3 representative AI-powered report prototypes that demonstrate measurable business value and establish reusable implementation patterns.
Design AI-led reports that proactively surface insights, drivers, trends, exceptions, contextual narratives, and recommended next actions instead of presenting static metrics alone.
Build AI-embedded report experiences in React and Power BI Embedded, including conversational interfaces, natural-language exploration, guided analysis, explainable insights, and role-aware experiences.
Develop and align Fabric IQ ontologies, Power BI semantic models, business definitions, relationships, rules, and actions so reports and AI agents use consistent enterprise context.
Integrate enterprise data from Microsoft Fabric, APIs, lakehouse or warehouse platforms, operational systems, documents, and approved knowledge sources while maintaining security and lineage.
Validate prototypes with end users through demonstrations and structured feedback; document business outcomes, functional gaps, technical constraints, adoption considerations, and lessons learned.
Establish development standards for React components, embedded analytics, prompts, semantic models, AI evaluation, accessibility, observability, testing, deployment, and responsible AI.
Collaborate with product owners and delivery teams on planning, estimation, release sequencing, sprint execution, demos, documentation, and knowledge transfer.
Measure outcomes such as adoption, decision-cycle improvement, report consolidation, insight quality, response accuracy, performance, and reuse of common assets.
Discretionary Annual Incentive.

Nice-to-haves

Strong SQL skills; proficiency in Python or C# is preferred. Experience integrating structured and unstructured enterprise data is desirable.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aireacttypescriptjavascriptrestazuresqlpythonaccessibility

Platform: careers-page
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave