Full-Time

Palantir Engineer

Manager, Consulting

Posted on 9/9/2025

Ernst & Young

Ernst & Young

5,001-10,000 employees

Global professional services: consulting, assurance, tax

Compensation Overview

$125.5k - $230.2k/yr

Remote in USA

Remote

Travel may be required regularly based on client needs.

Category
Data & Analytics (1)
Required Skills
Power BI
Dataiku
Microsoft Azure
Python
Data Science
R
SQL
Machine Learning
Tableau
AWS
Hadoop
Databricks
Data Analysis
Snowflake
Requirements
  • Bachelor’s degree required; master’s preferred in a quantitative or technical field (e.g., statistics, computer science, engineering, mathematics) with either prior consulting experience or Industrials & Energy company experience preferred.
  • At least 5 years of relevant experience in data analytics, data governance, or data strategy, preferably in industrial, energy, or related sectors.
  • At least 3 years of Hands-on experience with Palantir Foundry, including Pipeline Builder, Workshop, AIP Agent Studio, Contour, Quiver, and related tools.
  • Deep knowledge of data governance, including data quality frameworks, stewardship models, compliance, and policy creation.
  • Demonstrated experience designing and deploying scalable data architectures.
  • Proficiency with data analytics tools and platforms: SQL, Python, R, Power BI, Tableau, Dataiku, or similar.
  • Expertise in advanced analytics, data science, and machine learning approaches to solve operational or financial challenges.
  • Hands-on experience with big data and cloud platforms such as Databricks, Snowflake, Azure (Data Factory, AzureML), AWS, Hadoop.
  • Ability to lead technical delivery and manage small teams effectively.
  • Strong communication and stakeholder management skills across technical and business domains.
  • Passion for mentoring, knowledge sharing, and building high-performing data teams.
  • Strong understanding of regulatory and data privacy implications within industrial or energy sectors.
  • A valid U.S. driver’s license and willingness to travel to client locations as needed.
Responsibilities
  • Build, deploy, and maintain solutions in Palantir Foundry, including Pipeline Builder workflows, Workshop applications, AIP Agent Studio automations, Contour integrations, and Quiver data visualizations.
  • Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across multiple domains.
  • Define and execute the Data & AI strategy for Industrials, Manufacturing, Oil & Gas or Utilities clients, aligning with business objectives and regulatory requirements.
  • Develop and champion data literacy programs, training, and change management initiatives to embed a data-driven culture across client organizations.
  • Communicate analytical findings through compelling data storytelling, dashboards, and visualizations tailored to business and technical audiences.
  • Build and maintain trusted relationships with client stakeholders across operations, IT, engineering, and executive leadership.
  • Stay abreast of emerging technologies, industrial domain trends, and advances in Palantir Foundry & AI platforms.
  • Develop resource plans and budgets for engagements, ensuring effective engagement economics.
  • Lead and mentor a multidisciplinary team of analysts, engineers, and data stewards to deliver high-quality outcomes.
  • Design scalable, secure, and cost-effective data architectures in collaboration with enterprise architects and IT to support business intelligence and advanced analytics needs.
  • Oversee cloud-based data management platforms and technologies such as Databricks, Snowflake, Azure, AWS, and Hadoop for ingestion, storage, and processing.
  • Drive the design and implementation of analytical models, data pipelines, and visualizations to solve complex business problems and generate actionable insights.
  • Leading workstream delivery and ensuring quality in all processes.
  • Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
  • Implementing resource plans and budgets while managing engagement economics.
Desired Qualifications
  • Certifications in Palantir, AWS, Azure, Snowflake, Databricks, or related platforms.
  • Experience with Data Office Organization and IT Architecture.
  • Familiarity with Digital Fluency and Hybrid Collaboration techniques.
  • Strong emotional agility to navigate complex interpersonal dynamics.
  • Experience with advanced data analytics tools and techniques.
  • Familiarity with machine learning concepts and applications.
  • Knowledge of industry trends and best practices in data engineering.

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company Size

5,001-10,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Boston, Massachusetts

Founded

1991

Simplify Jobs

Simplify's Take

What believers are saying

  • ESG and sustainability services capture growing enterprise carbon tracking demand.
  • AI-driven consulting from whyaye acquisition expands high-margin advisory revenue.
  • Diverse entrepreneur network expansion opens mid-market consulting growth opportunities.

What critics are saying

  • NMC Health £2bn lawsuit alleges negligent audits from 2012-2018 period.[2]
  • SEC $100 million penalty for CPA exam cheating and evidence withholding.[1]
  • Super Micro Computer auditor resignation cites governance and transparency concerns.[4]

What makes Ernst & Young unique

  • Blockchain carbon tracking platform on Ethereum differentiates ESG advisory services.
  • whyaye acquisition strengthens AI and data analytics consulting capabilities.
  • Tony Jordan appointed Chief Ethics Officer signals governance and compliance focus.

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Benefits

Professional Development Budget

Flexible Work Hours

Remote Work Options

Company News

Yahoo Finance
Apr 7th, 2026
EY deploys agentic AI across global audit practice with 2028 full rollout target

EY has deployed enterprise-scale agentic AI across its global assurance practice, integrating a multi-agent AI framework into EY Canvas, its audit technology platform. The system, built on Microsoft Azure, Microsoft Foundry and Microsoft Fabric, aims to help audit teams coordinate complex tasks and respond to risks more adaptively. The rollout follows extensive piloting and testing, with AI now embedded across all audit stages for engagements worldwide. EY expects the technology to underpin all end-to-end audit activities by 2028. The company says the platform will reduce administrative burdens on clients whilst enhancing risk evaluation and maintaining professional judgement. EY Global chair Janet Truncale described it as a "human-led, AI-powered audit of the future" designed to deliver greater value and insight for clients and stakeholders.

PR Newswire
Mar 26th, 2026
EY launches blockchain privacy sandbox to test zero-knowledge proof smart contracts

EY has launched the EY Blockchain Privacy Sandbox, a web-based development environment enabling organisations to experiment with privacy-preserving smart contracts on public Ethereum Virtual Machine-compatible blockchains. The sandbox uses Starlight, an open-source zero-knowledge proof compiler originally developed by EY and now in the public domain. The platform allows developers to transform standard Solidity smart contracts into privacy-preserving applications without requiring local setup, lowering technical barriers to zero-knowledge technology adoption. It includes sample projects that can be explored and modified to accelerate proof-of-concept development. Grand View Research projects the global zero-knowledge proof market will reach approximately $7.6 billion by 2033. The sandbox is designed for experimentation and validation, helping businesses assess feasibility before broader enterprise integration. The platform is now available via request.

The Associated Press
Mar 24th, 2026
Unilever and UK government back Kenya-India waste tech partnership to automate recycling

Kenyan waste management enterprise TakaTaka Ni Mali and India-based TrashCon have partnered to modernise Kenya's circular economy infrastructure through decentralised waste segregation technology. The collaboration was facilitated by TRANSFORM, an impact accelerator led by Unilever, the UK Government's FCDO, and EY. The partnership addresses implementation challenges of Kenya's Sustainable Waste Management Act (2022), which requires household waste separation. TrashCon's TrashBot technology automatically separates wet organic material from dry recyclables, creating safer conditions for waste workers whilst improving recovery rates. Urban waste collection in Kenya currently reaches only 20-30%. TakaTaka Ni Mali will serve as local reseller for TrashBot, supporting installation and maintenance whilst deploying its Ecomali digital traceability platform. The first TrashBot model will be showcased at Kenya International Investment Conference from 25-27 March, with two additional machines planned.

PR Newswire
Mar 18th, 2026
EY and 8090 launch AI-native software development platform claiming 70% productivity boost and 80x faster delivery

Ernst & Young LLP has launched EY.ai Product Development Lifecycle in partnership with 8090, introducing an AI-native approach to software development. The system, powered by 8090's Software Factory platform, uses AI agents with human oversight to deliver production-ready software in days or weeks rather than months. The framework addresses traditional development challenges including project failures and budget overruns. An EY US use case demonstrates a 70% increase in productivity and cost efficiency, with delivery speeds 80 times faster and over 95% automated test coverage. EY.ai PDLC will be deployed to tens of thousands of EY US consultants. The platform targets two key areas: legacy system modernisation and new product development. EY plans to expand the programme with additional technology partners over time.

Business Wire
Mar 17th, 2026
EY selects CrowdStrike and NVIDIA AI to power agentic SOC services

Ernst & Young LLP has selected CrowdStrike's Falcon platform to power its Agentic Security Operations Centre services, accelerated by NVIDIA AI infrastructure. The collaboration aims to help enterprises transform security operations using AI agents capable of responding to threats at machine speed. The partnership comes as average eCrime breakout time has dropped to 29 minutes, with the fastest observed attack occurring in just 27 seconds. CrowdStrike's agentic platform leverages NVIDIA's AI tools, including Nemotron models and NeMo microservices, to enable more accurate threat analysis and faster response times. The system includes AI-ready data layers, mission-ready agents trained on real response expertise, and Charlotte AI AgentWorks, which allows organisations to build custom agents without coding. The platform aims to address the challenge of analysts manually investigating the growing volume of security alerts.

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