Technical Business Analyst, AI

Position Title: Technical Business Analyst, AI
Position Location: Remote in the Contiguous United States
Job Summary:
The Technical Business Analyst, AI combines hands-on technical expertise with strong client and delivery leadership. This role serves as the primary point of contact for client engagements and owns end-to-end delivery across AI, data, and application initiatives-bridging client stakeholders and delivery teams, keeping execution on track, proactively managing risk and escalations, and holding teams accountable for timelines and outcomes. The role also plays a significant technical part in reporting implementations, gathering and translating requirements, designing data models and dashboards in Looker, and applying AI to elevate analytics and insights. The ideal candidate brings a consultative mindset, clear ownership, and the ability to translate complex technical work into business value while maintaining operational rigor.
Essential Functions:

• Serve as the primary client contact and own the relationship from kickoff through delivery, leading kickoff sessions, status meetings, demos, and executive updates.
• Own the end-to-end delivery plan, including milestones, dependencies, risks, and deliverables across AI, data, and application workstreams.
• Monitor delivery health and proactively identify risks, bottlenecks, and misalignment before they impact timelines; escalate internally and drive alignment on corrective actions.
• Manage client issues and escalations-triaging concerns quickly, coordinating resolution with internal teams, and communicating clear action plans.
• Partner with clients on scope changes and evolving requirements, ensuring impacts to delivery, timelines, and priorities are clearly understood and agreed upon.
• Ensure tasks are clearly defined, assigned, followed up on, and completed as committed, and translate progress into concise updates for clients and internal leadership.
• Participate in technical discussions and design reviews, translating solution architecture, integrations, and implementation trade-offs into business-oriented insights for non-technical stakeholders.
• Lead business analysis for reporting and analytics needs, eliciting requirements and translating business questions into KPIs, metric definitions, and functional specifications.
• Perform hands-on reporting implementation in Looker, including data modeling, LookML development, and dashboard and Explore design.
• Partner with data engineers to validate source data, define the semantic layer, and ensure the accuracy, consistency, and performance of reports.
• Identify and implement opportunities to apply AI within reporting and analytics, such as conversational analytics, natural-language querying, and AI-generated insights.
• Own user acceptance testing for reports and dashboards, and document data definitions, business rules, report specifications, and user guides to support training and adoption.
• Coordinate cross-functional teams across engineering, data, QA, and cloud, supporting planning, onboarding, and capacity alignment while reinforcing priorities and ownership.

Required Skills/Abilities/Competencies

• Excellent verbal and written communication skills, including the ability to translate technical details into business value.
• Ethical and Critical Thinking
• Excellent interpersonal and client relationship management skills.
• Consultative mindset with clear ownership of and accountability for outcomes.
• Excellent organizational skills and attention to detail.
• Excellent time management skills with a proven ability to meet deadlines.
• Strong analytical and problem-solving skills.
• Strong leadership skills, with the ability to coordinate cross-functional teams and hold them accountable.
• Ability to prioritize tasks and manage competing priorities across multi-stakeholder initiatives.
• Ability to function well in a high-paced and stressful environment.
• Strong SQL skills and a good understanding of modern software delivery practices (Agile, cloud-native architectures, APIs, CI/CD, data platforms).
• Proficient with Microsoft Office Suite and tools such as Jira, Confluence, and Lucidchart.

Education and Experience:

• 5+ years of experience delivering technology projects in a client-facing or consulting environment.
• 3+ years of experience as a technical business analyst or in a hands-on BI/reporting role, including requirements gathering, data modeling, and dashboard development.
• Proven experience owning delivery outcomes, timelines, and client relationships, and managing complex, multi-stakeholder initiatives with competing priorities.
• Experience working with cloud data warehouses and semantic layers.
• Preferred: Background in software engineering, data engineering, cloud infrastructure, or a related field.
• Preferred: Experience delivering AI/ML or analytics-driven solutions.
• Preferred: Hands-on experience with Looker, including LookML development, Explores, and dashboard design.
• Preferred: Experience applying AI and LLM capabilities to analytics and reporting (e.g., Gemini in Looker, conversational analytics, AI-generated insights).
• Preferred: Familiarity with Google Cloud (including BigQuery), Azure, or AWS cloud environments.
• Preferred: PMP, Scrum Master, or equivalent certification.

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.
• Must be able to lift up to 15 pounds at times.