Manager, AI Solutions & Analytics - Dallas Regional Office

Dominium•Dallas, TX

19h

About The Position

The Manager, AI Solutions & Analytics serves as an internal consultant, builder, and problem solver, using data, analytics, artificial intelligence, and process automation to improve business performance across the organization. The role partners with leaders and teams to understand business needs, identify opportunities, and design practical, scalable solutions aligned with enterprise priorities. The Manager develops and implements dashboards, reporting tools, automated workflows, and AI-enabled solutions to improve decision-making and reduce manual work. The position combines business acumen, analytical expertise, hands-on technical skills, and project leadership to move solutions from discovery and testing into sustained operations. Using tools such as Microsoft Copilot, Claude, Power BI, Power Automate, SQL, and other approved technologies, this position delivers measurable improvements while following organizational requirements for data privacy, security, responsible AI use, and human review.

Requirements

Bachelor’s degree in business, analytics, information systems, computer science, data science, or a related field, or an equivalent combination of education and relevant experience.
Minimum three years of progressive experience in business intelligence, analytics, process improvement, automation, AI-enabled solutions, or a related field.
Demonstrated experience building dashboards and reporting solutions using Power BI or a similar platform.
Experience gathering business requirements and translating them into practical technical or analytical solutions.
Experience using generative AI tools such as Microsoft Copilot, Claude, ChatGPT, Gemini, or comparable technologies to support business processes or decision-making.
Experience using Power Automate, Power Apps, SQL, or other data and workflow automation tools.
Experience developing AI agents, prompts, or automated workflows for business use.
Experience leading projects or coordinating implementation across multiple teams.
Experience developing business cases, measuring return on investment (ROI), or tracking adoption and outcomes.
Familiarity with data governance, information security, and responsible AI practices.
Strong business and customer focus, strategic and analytical thinking, and commitment to solution design and continuous improvement.
Strong problem-solving and communication skills, including the ability to explain complex information to nontechnical audiences.
Project planning and execution skills, adaptability, sound judgment, and ability to manage multiple initiatives, organize work, meet deadlines, and collaborate effectively with stakeholders at different organizational levels.

Responsibilities

Partner with executives, business leaders, project managers, and subject matter experts to understand challenges, clarify requirements, and identify opportunities for analytics, automation, and AI-enabled solutions.
Design, build, test, and implement workflows, automations, AI agents, prompts, dashboards, and decision-support tools using approved technologies.
Develop executive dashboards, scorecards, KPI reports, and other business intelligence tools that provide visibility into operational performance and enterprise initiatives.
Analyze complex data to identify trends, opportunities, risks, performance gaps, and potential root causes, and translate findings into actionable recommendations.
Collaborate with leaders and stakeholders to define performance measures, data requirements, reporting standards, and success criteria.
Prepare business cases, ROI analyses, solution recommendations, and implementation plans to support prioritization and investment decisions.
Lead or coordinate solution development from discovery through pilot, implementation, and transition to ongoing operations, including documentation, testing, training, and stakeholder communication.
Monitor solution adoption, performance, and realized benefits; identify needed adjustments and help sustain improvements.
Promote responsible AI and automation practices by following data, privacy, security, and governance requirements and applying appropriate human review and validation.
Stay informed about developments in AI, analytics, and automation and recommend practical applications aligned with business needs.
Perform other duties as assigned.