Palantir Engineer - Manager - Consulting - Location Open

Location: Anywhere in Country Base pay range: $125,500.00/yr - $230,200.00/yr EY is looking for a hands-on, technically oriented Manager to join our Tech Consulting team and help deliver data-driven insights and solutions to Industrials & Energy clients. You will guide clients through analytics, data governance, and modern data platforms with a strong focus on Palantir Technologies. You will be technically engaged, building solutions using Palantir Foundry tools (Pipeline Builder, Workshop, AIP Agent Studio, Contour, Quiver) and other Foundry components, while also managing and mentoring teams of strategists and engineers. You will advise clients on data strategies, governance, and modern data architecture, ensuring alignment with business objectives and regulatory requirements. This is a high-growth, high-visibility role with significant opportunities to shape data strategies across client operations. Travel may be required regularly based on client needs. 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 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 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. Oversee cloud-based data management platforms and technologies (Databricks, Snowflake, Azure, AWS, 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. Lead workstream delivery and ensure quality in all processes; engage with clients daily and identify opportunities for additional services. Implement resource plans and budgets while managing engagement economics. Qualifications Bachelor’s degree required; master’s preferred in a quantitative or technical field (e.g., statistics, computer science, engineering, mathematics) with 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, data quality, stewardship models, compliance, and policy creation. Experience designing and deploying scalable data architectures. Proficiency with SQL, Python, R, Power BI, Tableau, Dataiku, or similar tools. Experience with big data and cloud platforms (Databricks, Snowflake, Azure, AWS, Hadoop). Ability to lead technical delivery and manage small teams effectively; strong stakeholder management skills. Mentoring mindset and passion for building high-performing data teams; understanding 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. Preferred / Additional Certifications in Palantir, AWS, Azure, Snowflake, or Databricks; experience with Data Office Organization and IT Architecture. Familiarity with Digital Fluency and Hybrid Collaboration techniques; emotional agility to navigate complex interpersonal dynamics. Knowledge of industry trends and best practices in data engineering; familiarity with machine learning concepts and applications. What We Look For We seek individuals who are technically proficient and possess collaboration, adaptability, and a passion for continuous learning. If you are driven by results and want to make a meaningful impact, we want to hear from you. Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or require an accommodation during any part of the application process, please contact EY’s Talent Shared Services. What We Offer You Comprehensive compensation and benefits package; base salary range in the US is $125,500 to $230,200. In NYC Metro, WA, and CA (excluding Sacramento), ranges are higher. Hybrid work model with in-person collaboration expected 40-60% of the time on engagements. Flexible vacation policy and paid holidays, with support for personal/family care and other leaves. Are you ready to shape your future with confidence? Apply today.

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