Owns client relationships and end-to-end delivery for AI, data, and application initiatives. Manages milestones, risks, dependencies, escalations, scope changes, and cross-functional teams. Leads business analysis for reporting and analytics, translating requirements into KPIs and specifications. Develops Looker data models, LookML, dashboards, and Explores; validates data and semantic layers; supports UAT and documentation. Identifies applications of AI and LLMs to analytics, including conversational querying and generated insights.
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.
Pellera provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate Property and Casualty coverages, and convert prospects into policyholders. The role includes paid training and licensing support, remote work, commission opportunities, and a schedule covering four weekdays and one weekend day. Candidates need sales or service experience, strong communication and persuasion skills, PC proficiency, and the ability to obtain a Property and Casualty license.
Top Skills:
PcWired High-Speed Internet
Information Technology • Software • Financial Services • Big Data Analytics
Conduct quantitative research for investment strategies using advanced statistical and mathematical modeling, machine learning, data analysis, portfolio optimization, and algorithm development. Build predictive models and analyze price formation, risk, and financial market drivers. Collaborate with researchers, engineers, and traders to develop scalable systems and solve real-world investment problems.
Top Skills:
C++Machine LearningPython
Consumer Web • eCommerce • Information Technology • Retail • Software • Analytics • App development
Senior commercial sales leader responsible for driving revenue, new customer acquisition, and strategic account expansion across the Americas for Lowe's Commerce Solutions. Builds regional sales capability, leads complex enterprise deals, manages pipeline and forecasting, engages CXO-level stakeholders, and partners with cross-functional teams to execute go-to-market plans and scale repeatable sales practices.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
