Data Science-Palantir Foundry-Senior Manager

Industry/Sector

Specialism

Management Level

Job Description & Summary

Years of Experience: Candidates with 12 years of hands on experience

PwC US - Acceleration Center is seeking a visionaryPalantirSeniorAIArchitectat the Senior Manager this leadership role you will design and deploycutting-edgeAI / Machine Leaning /Generative AI solutionsusing Palantir Foundry. You will drive innovation through scalable cloud architecturesoptimizeAI infrastructure and lead cross-functional teams in implementing transformative AI solutionsusing Foundry. The ideal candidate will bring deepexpertiseinAI / MachineLearning /Generative AI technologies data engineeringdesigning analytical workflows developing models and building solutions that scale across Foundrys ontology and operational applications. You will partner closely with cross-functional PwC and client teams to deploy actionable production-grade analytics in mission-critical environments.

Responsibilities:

Architecture Design:

• Design and implement scalable secure and high-performance architectures forMachine Learning solutions /Workshop basedapplications.

Advanced Analytics & Modeling:

• Design and develop machine learning models (forecasting classification optimization NLP clustering etc.) using Python Spark and Foundry-native capabilities.

• Perform exploratory data analysis to understand client datasets assess quality andidentifyactionable insights.

• Create reusable feature engineering pipelines and analytical modules within Foundrys dataset and transformation framework.

• Evaluate model performance interpret results and communicate implications to diverse stakeholders.

AIP&Foundry Workflow Development:

• Build end-to-end analytical workflows in Palantir Foundry integrating data ingestion transformations modeling and operational decision-support tools.

• Leverage Foundry components (Code Workbooks Transforms OntologyPipelinesOperational Apps) to design scalable data products.

• SupportMLOpsprocesses including model deployment monitoring versioning and automated retraining.

• Knowledge and understanding ofPalantirsArtificial Intelligence Platform (AIP)whichconnects AI with data and operations

Foundry DataIntegrationConnectivityand Workshop AppBuilds:

• Understanding ofdata connectivity and integration tools that extend far beyond typical extract-transform-load (ETL) or extract-load-transform (ELT) solutions

• Leverage Foundrys data transformation pipeline managementcapabilitiesto build AI ready datasets

• Work on anintegrated suite of data transformation authoring change management data quality pipeline scheduling and metadata introspection capabilities that work cohesively to provideanmission control for data engineers.

• Leverageprimary application toolsusingworkshopandslateto buildcreate powerful applications out of no-code low-code and code-based widgets

Client Engagement & Delivery

• Workdirectly with client product owners analysts and technical leads totranslatebusiness problems into analytics solutions.

• Present analytical insights model outputs and recommendations in clear compelling ways.

• Develop client-ready documentation dashboards training materials and workshops to support adoption.

• Participate in agile project delivery sprint planning and iterative solution refinement

Performance Optimization:

• Monitor the performance of deployed AI models and systems ensuring robustness and accuracy.

• Optimizecomputational costs and infrastructureutilizationfor large-scale deployments.

Requirements:

• Bachelors ormastersdegree in computer science Data Science ora relatedfield.

• 11 years of relevant technical/technology experience with significantexpertiseinAI /GenAI projectswith production deployment experience.

• Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark.

• Experience in machine learning frameworks and tools (Fore.g.scikit-learnmlr caret H2O TensorFlowPytorchMLlib)

• Hands-on experience using Palantir Foundry including transforms datasets ontology and operational applications.

• Experience deploying ML models or analytical workflows inside Foundry (training pipelines inference workflows).

• Familiarity with DevOps/MLOpstools (Git CI/CD).

• Background in industries where Foundry is widely adopted (public sector supply chain energy healthcare financial services).

• Strongproficiencyin Python (pandas NumPy scikit-learn; familiarity withPyTorch/TensorFlow a plus).

• Solid understanding of SQL and distributed computing (Spark/PySpark).

• Experience with model development validation and deployment in production environments.

• Excellent communication and problem-solving skills in client-facing settings.

• Experience with data governance access controls and secure analytics environments.

• Exceptional leadership problem-solving and analytical abilities.

• Superior communication and collaboration skills with experience managing high-performing teams.

• Ability tooperateeffectively in a dynamic fast-paced environment.

Professional and Educational Background:

• BE / / MCA / / M.E / / MBA/Any Degree

Travel Requirements

Job Posting End Date