Job Description

Title: Senior Data Analyst AI/ML

Location: Houston, Texas (Downtown)

Type: Direct-Hire

Salary: $150,000 - $175,000 (base salary)

Summary:

Our client within the Energy & Technology industry is seeking a Senior Data Analyst to be responsible for leading the strategic data and growing AI initiatives. This role would be tasked with ensuring the alignment of business goals and fostering AI innovation. The best candidate will develop, own, and maintain data governance standards and architecture in sync with the cybersecurity framework and enterprise data governance. In addition, this role will be charged with guiding teams to leverage AI data for competitive advantage, drive data-driven decision-making, and ensuring regulatory compliance.

Duties:

• Possess a commitment to ethical AI practices, ensuring AI systems are transparent, explainable, and free from biases to promote fairness, accountability, and transparency in all AI applications.
• Maintain regular updates to data and AI strategies to incorporate emerging AI technologies along with investments in AI-ready infrastructure.
• Lead cross functional teams including AI engineers, data scientists, data visualization engineers etc. to transform data into actionable insights.
• Develop data architectures that enable efficient gathering, storage, and retrieval of data across Enterprise (IT and OT) systems.
• Work closely with internal SMEs and business functions Data Governance requirements and its impact to the Cloud Services.
• Identify and mitigate potential gaps/risks and ensure process and procedure corporate policies.
• Be the voice of data & AI to support business cases, commercial strategies, partnership explorations and vendor pricing discussions.
• Manage, develop, and execute AI strategies, models, and solutions to meet business needs, and objectives.
• Establish best practices and procedures guide for AI and machine learning and oversee the AI lifecycle.

Requirements:

• 8+ years of experience designing, building, and supporting large scale modern data platforms.
• Knowledge of Data Governance Services (e.g. Azure Purview etc.), AI/ML(e.g. Azure ML Studio), Gen-AI LLMs models (e.g. Azure Open AI etc.).
• Working knowledge of Data Architecture, Encryption, Privacy Policies and Backup/Archival processes.
• Experience in managing multiple, large, cross-functional teams or projects, and influencing senior level management and key stakeholders.
• Ability to translate complex technical concepts into clear and actionable requirements.
• Knowledge of master data management, document management, and data warehouses.
• Knowledge of data security policy creation, data security control definitions and data security governance processes.

Education:

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