EY
Overview
Join to apply for the
Palantir Engineer - Manager - Consulting - Location Open
role at
EY . Location: Anywhere in Country. EY focuses on shaping your future with confidence and building a better working world through diverse teams and data-driven solutions. Role and opportunity
We are looking for a
hands-on, technically oriented Manager
to join our 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 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 opportunities to shape data strategies across industrial and energy client operations. In this role, you will design and build analytics solutions that deliver significant business value, collaborating with data and analytics professionals, management, and stakeholders to translate business requirements into effective technical solutions. Responsibilities
Understanding and analyzing business requirements to translate them into technical requirements. Designing, building, and operating scalable data architecture and modeling solutions. Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. Build, deploy, and maintain solutions in Palantir Foundry (Pipeline Builder workflows, Workshop applications, AIP Agent Studio automations, Contour integrations, Quiver data visualizations). Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across multiple domains. Define and execute data & AI strategy for Industrials, Manufacturing, Oil & Gas or Utilities clients, aligning with objectives and regulatory requirements. Develop and champion data literacy programs, training, and change management to embed a data-driven culture. 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 industry trends, including Palantir Foundry & AI platforms. Develop resource plans and budgets for engagements and manage engagement economics. Lead and mentor a multidisciplinary team of analysts, engineers, and data stewards to deliver 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 design and implementation of analytical models, data pipelines, and visualizations to solve business problems. Lead workstreams, ensure quality, and engage with clients on a daily basis to identify opportunities for additional services. Qualifications
Bachelor’s degree required; master’s preferred in a quantitative or technical field (e.g., statistics, computer science, engineering, mathematics) with consulting or Industrials & Energy 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, quality frameworks, 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. 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 (Databricks, Snowflake, Azure, AWS, Hadoop). Ability to lead technical delivery and manage small teams effectively. Strong communication and stakeholder management across technical and business domains. Mentoring mindset and passion for building high-performing data teams. 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. Preferred additional 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. Emotional agility for navigating complex interpersonal dynamics. Experience with advanced data analytics tools and machine learning concepts. Knowledge of industry trends and best practices in data engineering. What We Look For
We seek individuals who are technically proficient with 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. What We Offer You
Comprehensive compensation and benefits; base salary ranges vary by location (e.g., $125,500 to $230,200 in most locations; $150,700 to $261,600 in NYC Metro, WA, and CA excluding Sacramento). Total Rewards includes medical/dental, 401(k), and paid time off. Hybrid model: most client-facing roles are expected to work in person 40-60% of the time. Flexible vacation policy with EY holidays and leave options to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California residents, please click here for additional information. EY is an equal opportunity employer. EY provides reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or during the application process, contact EY’s Talent Shared Services. EY | Building a better working world. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence across assurance, consulting, tax, strategy and transactions.
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Join to apply for the
Palantir Engineer - Manager - Consulting - Location Open
role at
EY . Location: Anywhere in Country. EY focuses on shaping your future with confidence and building a better working world through diverse teams and data-driven solutions. Role and opportunity
We are looking for a
hands-on, technically oriented Manager
to join our 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 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 opportunities to shape data strategies across industrial and energy client operations. In this role, you will design and build analytics solutions that deliver significant business value, collaborating with data and analytics professionals, management, and stakeholders to translate business requirements into effective technical solutions. Responsibilities
Understanding and analyzing business requirements to translate them into technical requirements. Designing, building, and operating scalable data architecture and modeling solutions. Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. Build, deploy, and maintain solutions in Palantir Foundry (Pipeline Builder workflows, Workshop applications, AIP Agent Studio automations, Contour integrations, Quiver data visualizations). Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across multiple domains. Define and execute data & AI strategy for Industrials, Manufacturing, Oil & Gas or Utilities clients, aligning with objectives and regulatory requirements. Develop and champion data literacy programs, training, and change management to embed a data-driven culture. 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 industry trends, including Palantir Foundry & AI platforms. Develop resource plans and budgets for engagements and manage engagement economics. Lead and mentor a multidisciplinary team of analysts, engineers, and data stewards to deliver 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 design and implementation of analytical models, data pipelines, and visualizations to solve business problems. Lead workstreams, ensure quality, and engage with clients on a daily basis to identify opportunities for additional services. Qualifications
Bachelor’s degree required; master’s preferred in a quantitative or technical field (e.g., statistics, computer science, engineering, mathematics) with consulting or Industrials & Energy 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, quality frameworks, 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. 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 (Databricks, Snowflake, Azure, AWS, Hadoop). Ability to lead technical delivery and manage small teams effectively. Strong communication and stakeholder management across technical and business domains. Mentoring mindset and passion for building high-performing data teams. 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. Preferred additional 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. Emotional agility for navigating complex interpersonal dynamics. Experience with advanced data analytics tools and machine learning concepts. Knowledge of industry trends and best practices in data engineering. What We Look For
We seek individuals who are technically proficient with 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. What We Offer You
Comprehensive compensation and benefits; base salary ranges vary by location (e.g., $125,500 to $230,200 in most locations; $150,700 to $261,600 in NYC Metro, WA, and CA excluding Sacramento). Total Rewards includes medical/dental, 401(k), and paid time off. Hybrid model: most client-facing roles are expected to work in person 40-60% of the time. Flexible vacation policy with EY holidays and leave options to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California residents, please click here for additional information. EY is an equal opportunity employer. EY provides reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or during the application process, contact EY’s Talent Shared Services. EY | Building a better working world. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence across assurance, consulting, tax, strategy and transactions.
#J-18808-Ljbffr