Role Summary
We are seeking a seasoned consultant with strong utility domain expertise combined with data platform and AI capabilities (Palantir Foundry & AIP) to drive end-to-end transformation initiatives.
Key Responsibilities
- Leverage deep understanding of the utility value chain, including Meter-to-Cash (M2C), Customer Analytics, and Outage Analytics, to deliver improvements in revenue assurance, customer experience, and grid reliability
- Design and implement ontology-driven data models in Foundry, including defining object types, link types, and action types, and exposing them for downstream applications and AIP use cases
- Develop and manage data pipelines leveraging Foundry’s data layer, including datasets, transactions, schema evolution, and incremental vs. snapshot transformations, ensuring data quality and reliability
- Build and operationalize AI-powered solutions using AIP, including Logic, Agents, Assist, and Automate, with function-backed objects and actions
- Apply prompt engineering, evaluation frameworks, and tool/function integration to enable scalable and production-grade AI applications
- Utilize Foundry applications such as Pipeline Builder, Code Repositories, Code Workbook, Contour, Object Explorer, Workshop, Quiver, and Slate to deliver end-to-end data and analytics solutions
- Collaborate with business and technology stakeholders to translate domain requirements into scalable data and AI solutions aligned to business outcomes
- Drive best practices in data governance, lineage, and dataset health management
Preferred Qualifications
- 8–15 years of experience in utilities, data engineering, analytics, or digital transformation programs
- Strong exposure to utility operations and processes (billing, customer engagement, outage management)
- Hands-on experience with Palantir Foundry and/or similar modern data platforms
- Experience in AI/ML and enterprise AI platforms, preferably AIP or equivalent
- Strong problem-solving, stakeholder management, and communication skills
*Travel: willingness to travel extensively as client needs require.
Required Education & Work Authorization:
Education: Bachelor’s degree required; MBA or master’s strongly preferred.
Work Authorization: Must be legally authorized to work in the United States without employer sponsorship now or in the future.
Salary & Compensation:
Salary: Applications will be accepted until July 23rd, 2026. The annual salary for this position is between $81,450.00 – $129,500.00 depending on experience and other qualifications of the successful candidate.
Incentives: Eligible for Cognizant’s discretionary annual incentive program and stock awards, subject to applicable plan terms.
Benefits: Medical, Dental, Vision, Life Insurance, Paid Holidays plus PTO, 401(k) with company contributions, Short-term/Long-term Disability, Paid Parental Leave, Employee Stock Purchase Plan.
Disclaimer: Salary, other compensation, and benefits are accurate as of the date of this posting and may be modified at any time, subject to applicable law.
#CB #LI-Newark
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional de empleo
La información de compensación es precisa a la fecha de esta publicación. Cognizant se reserva el derecho de modificar esta información en cualquier momento, sujeto a la legislación aplicable.
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Cognizant es un empleador que ofrece igualdad de oportunidades. Tu solicitud y candidatura no serán consideradas en base a raza, color, sexo, religión, credo, orientación sexual, identidad de género, origen nacional, discapacidad, información genética, embarazo, condición de veterano o cualquier otra característica protegida por las leyes federales, estatales o locales.
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