Data and AI Architect

ConocoPhillips • Houston, TX

1d

About The Position

ConocoPhillips is seeking a highly skilled and experienced Data and AI Architect to join their team. This role is responsible for leading the design and development of Digital & AI Solutions in alignment with the company's digital strategy. The primary goal is to integrate foundational data ecosystem components to create solutions using cutting-edge Generative Artificial Intelligence and Model Context Protocol (MCP). These solutions aim to enhance the quality and fidelity of data used in business processes and analytics. The architect will play a key role in advancing AI capabilities, including seamless integration with Data Lake functionality to complement the existing Data Warehouse. This position also involves leading strategic aspects of the AI strategy and overseeing operational management, particularly in product development and decision-making. As part of the data architects team, the role will implement data projects, ensuring high data quality according to corporate and industry standards. The team is also tasked with developing and enforcing data management standards, implementing data technology solutions for various data types, and enhancing data visibility and access through data catalogs and lineage. The Data and AI Architect will be crucial in providing input and influence for the organization's data modernization program and its data and digital strategies, moving towards a strategic Data and AI organization. The role demands a strong, current technology focus, hands-on design and architecture experience, expertise in integrating and implementing digital/cloud technologies, and excellent communication skills.

Requirements

• Legally authorized to work in the United States
• Bachelor's degree or higher in Computer Science, Engineering, Geoscience, Information Technology, Information Systems, related field or foreign equivalent
• 7 or more years of experience in data architecture, and data management in an enterprise environment
• 1 or more years of experience with design and enablement of enterprise AI
• 1 or more years of experience with implementation of GenAI based solutions (Agentic workflows)
• 1 or more years of experience using the AI Assistants (like Microsoft copilot cowork, Anthropic claude code, Snowflake CoCo) for product/solution development
• Intermediate level of knowledge and experience designing and implementing solutions using MCP technologies

Nice To Haves

• 7 or more years of experience with Cloud Platforms on Data Science and Analytics
• 7 or more years of experience implementing and supporting complex Data Management initiatives e.g., Snowflake, ADLS, Databricks
• 5 or more years of experience with database platforms such as Snowflake or Teradata with demonstrated strength in SQL, data modeling, ETL development, and data warehousing
• 5 or more years of Energy industry experience
• Hands on experience and proficiency in Data Management tools – SQL, SDE, JSON, XML, scripting languages such as Python
• Big Data technology stack including NoSQL, Spark, Hive, Kafka, StreamSets, IICS, ADF etc
• Experience with Spark and any of the following programming languages: Python, Scala, Java etc
• Hands on experience designing and implementing data ingestion techniques for real-time and batch processes into cloud based platforms
• Delta Lake experience with query optimization
• Work across structured, semi-structured, and unstructured data, with strong technical experience in large distributed systems, data warehousing, data lake at scale
• Deep subject matter expertise and hands on experience in designing, scaling and implementing data lake platform
• Advanced level of knowledge of master data management, real-time streaming data and cloud technologies
• Advanced knowledge of well data lifecycle from exploration through to development, drilling and completion, production and eventual abandonment or relinquishment
• Advanced level of proficiency in DevOps , including Agile development process, containers, and source code control systems
• Intermediate level of knowledge of Data Management principles, processes and data lifecycle
• Understanding of Data Science and related technologies
• Ability to take ownership, engage, lead change, achieve results, adapt, problem solve, manage risk and drive tasks to completion
• Ability to lead initiatives, multi-disciplinary project teams, and influence stakeholder buy-in
• Participate in strategy and planning sessions and be recognized as a capable team member that delivers value
• Demonstrated ability to deal with ambiguity and maintain effective performance under stressful and uncertain conditions
• Excellent oral and written communication skills; proven ability to represent point of view and discuss technical information with the business users in business language
• Team player, and self-driven individual who can multi-task, work independently under minimal supervision and deliver on commitments
• Excellent analytical mind and proven problem-solving skills
• Demonstrated leadership skills, with ability to engage at all levels of the organization
• Confidently engage all levels of the organization in communicating a data strategy
• Ability to influence others and drive change around data standards and best practices

Responsibilities

• Responsible for identifying and evaluating the latest Artificial Intelligence (AI) capabilities, Large Language Models (LLMs) and technologies
• Responsible for integrating AI Models with applications using Model Context Protocol (MCP) and other cutting-edge capabilities to drive business results and innovation to propel organization’s Data and Digital strategies
• Accountable for defining end-to-end AI solution architecture that integrates with the established data foundation to deliver insights and predictions
• Responsible for establishing strategies, design patterns, guardrails, decision matrices, information models and frameworks that drive operational efficiencies across the AI landscape
• Responsible for identifying gaps and opportunities in the AI landscape and formulate a roadmap for enhancements
• Responsible for assessing the latest LLMs and enabling them for use cases
• Accountable for the operationalization of new AI capabilities, LLMs and tools and ensuring seamless integration with existing systems and processes (e.g. security, scalability, performance, reliability, FinOps, recovery etc.)
• Collaborate with Responsible AI committee to establish Responsible AI and AI-Ops (LLM-Ops) practices across the organization ensuring industry standard best practices are incorporated and adhered to
• Responsible for providing technical leadership and mentorship to development teams on implementing AI technologies and patterns
• Responsible for defining and operationalizing AI optimization techniques to address performance, cost and efficiency
• Responsible for creating enterprise blueprints that tie together our business processes and workflows with data in a cohesive way that strengthens our overall AI capabilities, accelerates delivery, and promotes innovation across the Data & AI landscape
• Responsible for cultivating relationships with peer Data Management groups and Enterprise Architects to ensure alignment, compliance and long-term sustainability of our digital assets
• Consulting and/or participation in risk review process and Architecture Review board to ensure AI projects/tools/models align with the organization's risk management and architecture standards
• Ensure consistency of AI models & tools, and architectural best practices across the organization, driving adoption across our teams and systems
• Proactively identify opportunities for automation and continuous improvements
• Stay current with the latest trends, technologies, and best practices in the AI stack - management, governance, and architecture
• Participate and support Agile quarterly planning for the team
• Establish AI capabilities to seamlessly complement the Data Lake, Data Warehouse, forming a unified and holistic platform to meet all data requirements
• Ensure consistency of AI models, tools, and architectural best practices across the organization, driving adoption across our teams and systems
• Responsible for establishing synergies and decision trees to map the right AI tools for the use cases
• Support other business groups (such as Asset & Operations Integrity, Construction, Damage Prevention, etc.) with a variety pipeline related activity

Benefits

• Medical, dental, vision, mental health support, and wellness programs
• Competitive base pay, annual performance bonuses, and retirement savings plans
• Paid time off, paid parental leave, and family support resources
• Access to training, mentoring, and internal career mobility tools
• Peer-nominated awards, inclusive culture, and employee resource groups

What This Job Offers

• Job Type: Full-time
• Career Level: Senior