Technical Business Analyst, AI

New

Remote opportunity based in the United States; remote work arrangement within the contiguous United States.Full-TimeMiddle

Salary not disclosed

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Job Details

Experience: At least 5 years of experience delivering technology projects in client-facing or consulting environments; at least 3 years of experience as a Technical Business Analyst or in a hands-on business intelligence and reporting role.
Required Skills: SQLAgileJiraMicrosoft OfficeRESTful APIsData modelingConfluenceLooker

At least 5 years of experience delivering technology projects in client-facing or consulting environments.
At least 3 years as a Technical Business Analyst or in a hands-on business intelligence and reporting role.
Experience with requirements gathering, data modeling, and dashboard development.
Proven ability to manage client relationships, delivery timelines, project outcomes, and complex multi-stakeholder initiatives.
Strong SQL skills and experience with cloud data warehouses and semantic layers.
Understanding of Agile methodologies, cloud-native architectures, APIs, CI/CD, and data platforms.
Ability to translate complex technical information into clear business value.
Leadership skills coordinating cross-functional teams, setting priorities, and holding stakeholders accountable.
Proficiency with Microsoft Office Suite and tools such as Jira, Confluence, and Lucidchart.
Preferred: background in software engineering, data engineering, cloud infrastructure, or a related technical discipline.
Preferred: experience delivering AI/ML solutions or analytics-driven technology initiatives.
Preferred: hands-on Looker experience, including LookML, Explores, and dashboard design.
Preferred: experience applying AI and LLM capabilities to analytics and reporting.
Preferred: familiarity with Google Cloud, BigQuery, Microsoft Azure, or AWS.
Preferred: PMP, Scrum Master, or equivalent project management certification.

Serve as the primary client contact, leading kickoffs, status meetings, demonstrations, and executive updates.
Own delivery plans across AI, data, and application workstreams, tracking milestones, dependencies, risks, and deliverables.
Identify delivery risks, triage client concerns, coordinate resolutions, and communicate action plans.
Clarify business needs, manage evolving requirements, and assess scope changes against priorities, timelines, and deliverables.
Translate architecture decisions, integrations, and implementation trade-offs into clear business insights for non-technical stakeholders.
Gather reporting requirements and implement Looker solutions, including data modeling, LookML, dashboards, and Explores.
Collaborate with data engineers to validate source data, define semantic layers, and maintain report accuracy and performance.
Implement reporting enhancements using conversational analytics, natural-language querying, and AI-generated insights.
Lead user acceptance testing and document data definitions, business rules, reporting specifications, and user guides.
Coordinate engineering, data, quality assurance, and cloud teams on planning, onboarding, resource alignment, and delivery priorities.

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