Job SummaryWe are seeking a highly skilled and experienced Data and AI Architect to join our team. Reporting to the Director of Data Architecture, this role will be responsible for leading the design and development of Digital & AI Solutions in line with the company's digital strategy.
The primary objective of the role is to bring together foundational components of data ecosystems to provide solutions using cutting edge Generative Artificial Intelligence and Model Context Protocol (MCP) that improve the quality and fidelity of the data consumed by business processes and analytics use cases. This role will be instrumental in enhancing our current AI capabilities, including the seamless integration with Data Lake functionality to complement our existing Data Warehouse.
The Data and AI Architect will also lead strategic aspects of the AI strategy and be responsible for the operational aspects of management, especially regarding product development and decision-making.
The Data and AI Architect will be part of a team of data architects, responsible for implementing data projects while ensuring a high level of data quality based on corporate and industry standards. The team will also be responsible for developing and enforcing standards for data management and implementing data technology solutions for structured and unstructured datasets as well as data catalogs and data lineage to enhance visibility and access to data.
As our organization is implementing a data modernization program along with data and digital strategies, the Data and AI Architect will play a key role in providing input and influence in our journey towards a strategic Data and AI organization. This role also requires a strong and current technology focus, hands-on practical design & architecture experience, experience with integration and implementation digital/ cloud technology and excellent written and communications skills.
Position OverviewYour responsibilities may include:- 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
Success Profile:To thrive in this role, you'll demonstrate the following leadership competencies:
- Accountability & Integrity: Takes ownership of actions, follows through on commitments, and stands up for what is right
- Results Orientation: Delivers positive outcomes through realistic planning and goal setting
- Decision-Making: Builds effective solutions using available information and makes timely, ethical decisions
Basic Qualifications:- 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
Preferred Qualifications: - 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
- Confident in engaging all levels of the organization in communicating a data strategy
- Ability to influence others and drive change around data standards and best practices
Apply By:Jul 2, 2026
Sponsorship: ConocoPhillips' sponsorship for employment authorization in the U.S. is NOT available for this position.
Benefits OverviewConocoPhillips offers a competitive and comprehensive benefits package designed to support your well-being and career growth:
- Taking Care of Your Health & Wellness: Medical, dental, vision, mental health support, and wellness programs.
- Supporting and Building Financial Security: Competitive base pay, annual performance bonuses, and retirement savings plans.
- Promoting Work-Life Balance: Paid time off, paid parental leave, and family support resources.
- Offering Career Development: Access to training, mentoring, and internal career mobility tools.
- Guiding Recognition & Inclusion: Peer-nominated awards, inclusive culture, and employee resource groups.
