Client Technology Lead – Data, Analytics & AI

ChabezTech LLC; New Jersey; On-site; USD 150,000 - 230,000; Full time

Job summary

ChabezTech LLC seeks an experienced Client Technology Lead – Data, Analytics & AI to drive technical coordination and delivery alignment across multiple client accounts. This onsite role bridges client stakeholders, account leadership, and distributed delivery teams.

The ideal candidate understands data engineering, analytics, BI, and AI, with strong consulting, stakeholder management, solutioning, and delivery coordination skills.

Qualifications

• 8+ years in data, analytics, AI, or technology consulting with client-facing duties.
• Strong knowledge of data pipelines, data warehousing, BI, and AI tech.
• Experience in discovery, estimation, proposals, and delivery planning.
• Ability to translate business requirements into technical solutions.

Responsibilities

• Act as onsite technical lead for multiple client accounts.
• Coordinate with stakeholders and distributed delivery teams.
• Lead discovery workshops and develop roadmaps.
• Estimate effort, staffing, and timelines with clients.
• Validate data pipelines, dashboards, and PoCs.

Skills

Client-facing

Data engineering

Analytics & BI

AI technologies

Stakeholder management

Solution design

Estimation & planning

Cloud platforms

SQL proficiency

Education

Bachelor's or Master's

Tools

Azure

AWS

GCP

Databricks

Snowflake

Power BI

Tableau

Job description

Job Description: Client Technology Lead – Data, Analytics & AI

Location: Edison, New Jersey, USA (or nearby commuting area)

Employment Type: Full-Time

Work Model: Onsite, Client-Facing, Multi-Account

Travel: As required based on client and portfolio needs

Experience: 8+ Years

About the Role

We are seeking an experienced Client Technology Lead – Data, Analytics & AI to drive technical coordination and delivery alignment across multiple client accounts. This role serves as the primary onsite technology contact, bridging client stakeholders, account leadership, and distributed delivery teams.

The ideal candidate will possess a broad understanding of data engineering, analytics, business intelligence, and AI technologies, combined with strong consulting, stakeholder management, solutioning, and delivery coordination skills.

The role requires a hands‑on, client‑focused professional who can translate business requirements into actionable technical solutions, facilitate discovery workshops, develop estimates, support solution design, and build or coordinate proofs of concept (POCs) and proofs of value (POVs).

Key Responsibilities

1. Client Engagement and Delivery Leadership

• Act as the onsite technical point of contact for multiple client accounts.
• Coordinate with client stakeholders, account leadership, and distributed or offshore delivery teams.
• Manage priorities, requirements, dependencies, risks, decisions, and action items to ensure timely execution.
• Maintain alignment between business objectives, client expectations, and technical delivery.
• Build trusted relationships with business leaders, technology stakeholders, and product owners.

2. Data, Analytics, BI, and AI Solutioning

• Participate in technical discussions covering data engineering, analytics, business intelligence, semantic models, and AI.
• Demonstrate working knowledge of data platforms, pipelines, ETL/ELT, APIs, data warehouses, lakehouses, dashboards, and reporting ecosystems.
• Understand modern AI capabilities, including Generative AI, retrieval‑augmented generation (RAG), and agentic AI.
• Evaluate solution options, identify technical gaps, and facilitate discussions on architecture, feasibility, and implementation trade‑offs.
• Engage subject‑matter experts when specialized technical expertise is required.

3. Discovery and Consulting

• Plan and facilitate discovery workshops with business and technology stakeholders.
• Gather and structure business requirements, pain points, priorities, constraints, and opportunities.
• Assess existing data environments, business processes, reporting ecosystems, and technology landscapes.
• Prepare assessment findings, recommendations, roadmaps, and actionable work packages.
• Translate complex technical concepts into clear recommendations for business and technical audiences.

4. Solution Design and Estimation

• Convert business requirements into practical solution approaches, deliverables, assumptions, and dependencies.
• Prepare and validate effort estimates, resource requirements, staffing plans, and implementation timelines.
• Collaborate with delivery teams and technology specialists on solution feasibility and delivery planning.
• Support proposals, solution presentations, client discussions, and project mobilization.
• Build or coordinate lightweight POCs, POVs, demonstrations, and technical validation exercises.

5. Hands‑on Technical Validation

• Review SQL queries, datasets, dashboards, semantic models, notebooks, prototypes, and other technical artifacts.
• Validate proposed data flows, reporting solutions, and proof‑of‑concept implementations.
• Contribute hands‑on when required to test ideas, validate assumptions, and demonstrate solution capabilities.
• Identify delivery risks and recommend practical approaches to address technical or implementation challenges.

6. Multi‑Account Coordination

• Support multiple accounts based on business priorities, delivery requirements, and emerging opportunities.
• Maintain visibility into account initiatives, delivery status, risks, opportunities, and follow‑up actions.
• Ensure continuity from discovery and solutioning through estimation, mobilization, and delivery execution.
• Coordinate across teams and time zones to maintain progress and accountability.

Required Skills and Experience

• 8+ years of experience in data, analytics, AI, technology consulting, solutioning, or technology delivery, with significant client‑facing responsibilities.
• Strong understanding of data engineering concepts, including data ingestion, ETL/ELT, orchestration, data modeling, APIs, cloud data platforms, data warehouses, and lakehouses.
• Solid understanding of analytics and BI concepts, including KPIs, dashboards, reporting, dimensional modeling, semantic models, data governance, and self‑service analytics.
• Practical knowledge of AI and modern AI capabilities, including machine learning, Generative AI, RAG, agentic AI, responsible AI, and production considerations.
• Experience in discovery workshops, current‑state assessments, requirements gathering, solution definition, estimation, proposals, and delivery planning.
• Ability to review technical artifacts and contribute hands‑on to SQL, dashboards, data models, notebooks, prototypes, and POCs.
• Exposure to cloud and data platforms such as Azure, AWS, GCP, Databricks, Snowflake, or Microsoft Fabric.
• Familiarity with BI tools such as Power BI, Tableau, or comparable platforms.
• Strong communication, stakeholder management, analytical, and problem‑solving skills.
• Experience coordinating distributed teams and working across multiple client engagements.

Preferred Domain Experience

Experience in one or more of the following areas is preferred:

• Retail and consumer businesses
• Supply chain and merchandising
• Customer analytics
• Finance
• Enterprise operations

Desired Competencies

• Strong client‑facing presence and stakeholder management skills.
• Commercial awareness and the ability to balance scope, cost, timelines, resources, and client expectations.
• Practical, hands‑on approach to problem‑solving and technical validation.
• Ability to operate effectively in ambiguous and fast‑changing environments.
• Strong ownership, accountability, and follow‑through.
• Ability to coordinate cross‑functional teams and engage specialists when needed.
• Sound judgment in identifying risks, managing dependencies, and driving practical outcomes.
• Willingness to travel and support multiple client accounts across time zones.

Education and Eligibility

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline, or equivalent professional experience.
• Must be authorized to work in the United States.
• Must be based in the Edison, New Jersey area or within a practical commuting distance.

Success in This Role

The successful candidate will establish strong client relationships, improve coordination between onsite stakeholders and distributed delivery teams, translate business needs into executable solutions, support accurate estimation and delivery planning, and help advance data, analytics, and AI initiatives across multiple client accounts.