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Overview

In the role of Business Intelligence Lead based in Houston, TX with hybrid onsite requirements, you will spearhead the advancement and team enablement of AI-driven automation using Microsoft Power Automate, Databricks, and related platforms. Your leadership will focus on delivering AI-enabled workflows that enhance efficiency, promote governed operations, and accelerate business results.

Key Responsibilities

Design and conduct comprehensive training sessions, workshops, and resource materials on Power Automate, Databricks, AI tools with a focus on CoPilot, Google ADK/Gemini, Claude models, prompt engineering, and automation methodologies.
Act as a subject matter expert to coach FP&A analysts and cross-departmental teams on adopting AI and automation capabilities effectively.
Collaborate with FP&A, IT, and business units to pinpoint and prioritize impactful AI and automation project opportunities.
Contribute to the architecture, development, testing, documentation, and deployment of AI solutions, Power Automate workflows, Databricks data processes, and reusable automation components.
Translate complex business requirements into actionable automation plans, solution designs, and process maps.
Advocate for responsible AI use through compliance with data governance, access management, connector approvals, testing protocols, monitoring, and support.
Develop standardized templates, training materials, exemplar solutions, and playbooks to encourage scalable and consistent automation implementations.
Support evaluation and prioritization of AI and automation initiatives by assessing complexity, data sensitivity, business impact, and implementation strategy.
Coordinate with enterprise teams covering AI, data architecture, security, and governance to ensure solution alignment with corporate policies.
Monitor and report on adoption rates, training effectiveness, automation workflow progress, value realization, and ongoing improvement opportunities.

Required Qualifications

Bachelor’s degree in business, information systems, data analytics, computer science, engineering, or equivalent experience.
Proven expertise in developing or facilitating automation through Microsoft Power Automate, Power Platform, or similar workflow tools.
Working familiarity with AI concepts, generative AI applications, prompt engineering techniques, responsible AI frameworks, and productivity-enhancing AI tools.
Knowledge of Databricks, data lakes, pipeline architectures, governed data environments, analytics workflows, or comparable cloud data technologies.
Strong ability to train and communicate technical ideas to diverse audiences, both technical and non-technical.
Experience in eliciting requirements, process documentation, solution design, and implementation coordination among multiple stakeholders.
Excellent facilitation, presentation, writing, and stakeholder engagement skills.
Competency in managing competing priorities, clarifying fuzzy problems, and driving projects forward through teamwork.
Awareness of governance, risk management, compliance, data privacy, and security issues related to AI, automation, and data usage in the enterprise context.

Preferred Qualifications

Certifications and/or hands-on experience with Microsoft 365, Power Automate, Power Platform, Databricks, Azure, and AI tools especially CoPilot, Google ADK/Gemini, and Claude.
Experience building Power Automate flows integrating Microsoft 365 apps, SharePoint/OneDrive, Teams, Outlook, APIs, and official enterprise connectors.
Background in data prep, dashboard reporting, model testing, and analytics delivery using Databricks or similar environments.
Skills in change management, developing training programs, technical documentation, and adoption analytics.

Core Competencies

A strong orientation toward training and enablement.
Focus on business process enhancement.
Expertise in AI and automation solution architecture.
Proficiency in data analytics and technology platforms.
Effective cross-team collaboration capabilities.
Understanding of governance, risk, and compliance factors.
Clear and thorough communication and documentation practices.
Commitment to continuous innovation and improvement.
Collaboration-driven work style.

Business Intelligence Lead