AI&Data Specialist Leader- E&C

Deloitte • Austin, TX • 34min ago

Job Title: Specialist Leader - AI & Data Solution Architecture, Energy & Chemicals

Work You'll Do

As a Specialist Leader in AI & Data Solution Architecture within Deloitte's Energy & Chemicals practice, you'll leverage deep industry experience and advanced technical expertise to drive transformative client outcomes. You will architect, design, and implement next-generation data and AI solutions that address the evolving challenges facing clients across Oil & Gas, Power & Utilities, Chemicals, and Renewables.

Key Responsibilities:

Lead the end-to-end architecture and delivery of enterprise-scale AI and data solutions for Energy & Chemicals clients, focusing on scalability, reliability, security, and business value

Translate business objectives and regulatory requirements into actionable solution architectures, leveraging AI/ML, advanced analytics, and cloud-native data technologies

Collaborate cross-functionally with product management, data engineering, data science, and client stakeholders to design and build robust data & AI platforms

Develop technical roadmaps and reference architectures that support integrated analytics, IoT, digital twin, smart operations, and predictive maintenance initiatives

Apply domain knowledge to advise on data governance, compliance, and data monetization strategies relevant to the Energy & Chemicals sector

Mentor a team of architects, engineers, and consultants, fostering skill development in advanced analytics, data engineering, and cloud ecosystem

Contribute to Deloitte thought leadership, eminence, and go-to-market activities in AI, data, and digital transformation for the Energy & Chemicals industry

The Team

Deloitte's Energy & Chemicals practice focuses on helping clients solve some of their most complex business challenges, using cutting-edge digital and analytical capabilities. You'll join a collaborative, innovative team that is passionate about modernizing operations, improving sustainability, and unlocking new value through technology.

Qualifications

Required:

Bachelor's degree in Computer Science, Engineering, Data Science, or related field; advanced degree preferred

8+ years of experience in solution architecture or technology leadership roles with a focus on AI, machine learning, and data platforms

5+ years of direct experience architecting data and/or AI solutions within the Energy & Chemicals sector (Oil & Gas, Utilities, Chemicals, etc.)

Demonstrated expertise in designing and implementing solutions on public cloud platforms (Azure, AWS, or GCP)

Strong proficiency in data engineering and management (e.g., data lakes, data warehousing, ETL, real-time data streaming)

Experience deploying and operationalizing ML/AI models at scale in industrial or asset-intensive environments

Solid understanding of energy operations, regulatory requirements, and major industry trends impacting digital transformation

Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve

Limited immigration sponsorship may be available

Preferred:

Experience with IoT integration, digital twin, and real-time analytics in the energy or chemical manufacturing @context

Familiarity with leading data and AI tools/platforms (Databricks, Snowflake, Azure Synapse, SageMaker, etc.)

Certifications in cloud architecture, data engineering, or AI/ML technologies

Excellent communication and stakeholder management skills; ability to lead workshops and executive presentations

Proven track record of team leadership, mentorship, and talent development

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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