#ACN GN-Industry A&D-Palantir + Skywise_Consultant

Accenture in India; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Accenture in India seeks a Consultant (C) with 8–10 years of experience to lead advanced data and AI initiatives for Aerospace & Defense. You will work on Palantir Foundry and Airbus Skywise projects, delivering end-to-end data platforms and AI-enabled decisions.

The role involves building data models, pipelines, and governance frameworks, collaborating with MRO teams and fleet operators in multiple Indian cities.

Qualifications

• Experience with Palantir Foundry and data integration for A&D use cases.
• Strong skills in Python or PySpark for data engineering.
• Experience deploying ML/AI workflows in enterprise environments.

Responsibilities

• Design and implement end-to-end data solutions on Palantir Foundry for A&D use cases.
• Develop and maintain data pipelines, ontologies, and dashboards.
• Configure AIP agentic workflows and integrate ML models into Foundry/Skywise.

Skills

Palantir Foundry

AIP

Airbus Skywise

Python

PySpark

ETL/ELT

Docker

Kubernetes

Cloud platforms

MRO/Defense domain

Job description

Practice: Industry – Aerospace & Defense
Areas of Work: Data & AI – Palantir Foundry / AIP & Airbus Skywise, Aerospace & Defense
Level: Consultant (C)
Years of Exp: C: 8–10 yrs
Location: Bangalore, Hyderabad, Chennai, Mumbai, Pune & Gurugram

• Domain Expertise:

• Palantir Foundry & AIP Solution Development
• Design, build, and deploy end-to-end data solutions on Palantir Foundry for A&D use cases — including predictive maintenance, fleet health monitoring, supply chain analytics, and mission readiness dashboards.
• Develop and maintain Foundry ontologies, pipeline datasets, transform logic (Python/PySpark), Code Workbook analyses, and Workshop/Slate application interfaces.
• Configure Palantir AIP for agentic AI workflows, LLM-integrated decision support, and operational AI use cases within MRO or defense contexts.
• Ensure data quality, lineage, access control, and governance standards within Palantir environments in compliance with client data policies.
• Support platform performance tuning, debugging, and production support for deployed Foundry data products.
• Airbus Skywise Platform & Aviation Data
• Integrate, analyze, and visualize aircraft operational data using the Airbus Skywise platform for airline MRO and fleet operations clients.
• Build Skywise analytics applications and configure Skywise data products, health algorithms, and API integrations with client MRO systems.
• Work with Skywise modules for predictive maintenance, aircraft health monitoring (AHM), and operational performance analytics.
• Ingest and process aviation data sources — ACARS messages, FDR/QAR data, CMC logs, Aircraft Health Monitoring streams, and ATA chapter-coded fault data — into unified analytical data products.
• Data Engineering & Integration
• Design and implement robust data integration pipelines connecting heterogeneous A&D source systems — ERP (IFS, SAP), CMMS (AMOS, TRAX), flight data recorders, sensor networks, and IoT platforms — into unified data products.
• Apply data modelling best practices for aviation and defense datasets: serialized part tracking, work order history, flight event logs, fault codes, and maintenance records.
• Build ETL/ELT pipelines using Python, Spark, or Foundry-native transforms with appropriate data quality controls, monitoring, and alerting.
• Manage and document data schemas, lineage, and metadata to support auditability and regulatory traceability requirements in A&D environments.
• AI/ML Model Development & Deployment
• Develop and deploy AI/ML models for A&D use cases: predictive failure detection, remaining useful life (RUL) estimation, anomaly detection on sensor data, demand forecasting for spare parts, and NLP-based processing of maintenance logs and technical records.
• Apply appropriate modelling techniques (classification, regression, time-series, survival analysis, deep learning) and validate performance against A&D operational requirements.
• Integrate ML models into Palantir Foundry or Skywise workflows to enable real-time or near-real-time operational decision support.
• Maintain model monitoring, retraining pipelines, and performance dashboards to ensure models remain accurate and reliable in production.
• A&D Domain Application & Business Value
• Collaborate with MRO domain SMEs, maintenance engineers, and operations teams to translate A&D business challenges into data and AI solution requirements.
• Map relevant A&D data assets — fleet configuration, maintenance histories, part genealogy, flight data, sensor telemetry — to analytical use cases and KPI frameworks.
• Define measurable business value from data products: reduction in unscheduled maintenance events, improvement in parts availability, TAT reduction, or cost per flight hour optimization.
• Conduct workshops with client data and operations stakeholders to validate findings, demo working solutions, and drive adoption of data-driven workflows.
• Cloud, Architecture & Technical Environment
• Familiarity with cloud platforms (AWS, Azure, GCP) and deployment of analytics workloads in cloud or hybrid environments common in A&D.
• Awareness of A&D data security, classification, and sovereignty requirements — including data handling for ITAR/EAR controlled information and defense-grade data environments.
• Experience working with modern data stack tooling: version control (Git), CI/CD for data pipelines, containerization (Docker/Kubernetes), and workflow orchestration.
• Understanding of enterprise architecture patterns for integrating Palantir Foundry or Skywise with existing enterprise data lakes, data warehouses, and API ecosystems.
• Generative AI & Agentic AI (Good to have)
• Exposure to Generative AI applications in A&D: automated generation of maintenance reports, technical document summarization, AI-assisted troubleshooting, and conversational interfaces for maintenance crews.
• Familiarity with Palantir AIP agentic workflows and how LLM-powered agents can automate data exploration, root cause analysis, and operational decision-making in MRO contexts.
• Awareness of responsible AI principles, explainability, and safety assurance requirements when deploying AI in safety-critical aviation and defense environments.
• Consulting Competencies:
• Translating complex A&D business requirements into technically sound data and AI solution designs — ability to bridge the gap between domain understanding and engineering execution.
• Strong analytical and structured problem-solving skills: ability to break down ambiguous business problems, identify the right data and modelling approach, and communicate findings clearly.
• Client-facing communication and facilitation skills: ability to present technical concepts to non-technical stakeholders, run structured requirements workshops, and build trust with operational teams.
• Project management and delivery discipline: ability to manage personal and team workstream timelines, track deliverables, and elevate blockers proactively within a consulting delivery model.
• Continuous learning orientation: ability to stay current with rapidly evolving Palantir platform capabilities, Skywise product updates, and AI/ML developments relevant to A&D.