Technical Delivery Lead Data & AI

Technical Delivery Lead – Data & AI

Matrix USA is seeking a senior, client‑facing leader to oversee end‑to‑end delivery of complex data engineering, analytics, and AI/ML engagements. This role combines hands‑on technical architecture, delivery leadership, and executive client engagement, acting as a key point person for large‑scale, long‑term consulting programs. The ideal candidate will possess deep expertise in modern cloud data platforms, extensive experience delivering multi‑phase enterprise programs, and the executive presence to collaborate with C‑suite stakeholders across various industries.

Key Responsibilities

Delivery Leadership

• Own the full lifecycle delivery of complex Data & AI engagements, from initiation to post-launch support.
• Establish and manage robust delivery governance, including project cadence, sprint reviews, risk and issue management, executive steering committees, and change control processes.
• Lead and coordinate cross-functional delivery teams of 5–15+ resources, including data engineers, ML engineers, BI developers, and offshore/nearshore contributors.
• Translate business objectives into scalable technical architectures and phased delivery roadmaps, managing scope, timeline, and resource trade‑offs with clients and internal teams.
• Ensure delivery excellence and production readiness for all outputs, including data pipelines, analytics layers, AI/ML models, dashboards, and governance artifacts.

Technical Architecture & Solutioning

• Lead the design of enterprise data platform initiatives, including cloud migrations, lakehouse architectures, data mesh, Unity Catalog implementations, and modernization programs.
• Architect and oversee ETL/ELT pipelines, data quality frameworks, and semantic layers using technologies like Databricks, dbt, Apache Spark, Airflow, and major cloud platforms (AWS, Azure, GCP).
• Guide the delivery of AI/ML solutions, encompassing feature engineering, model development, MLOps pipelines, model monitoring, and production deployment.
• Evaluate and recommend tools within the modern data and AI ecosystem, including orchestration, observability, data quality, vector databases, and AI governance solutions.
• Serve as the senior technical escalation point for complex challenges on active engagements.

Client Engagement & Business Development

• Act as the senior delivery-phase relationship owner, building trust with executive and technical stakeholders.
• Identify opportunities for engagement expansion and contribute to account growth.
• Support pre-sales activities, including discovery workshops, proposal development, RFP responses, SOW authoring, architectural solutioning, and pricing input.
• Participate in executive briefings, QBRs, and roadmap discussions, translating complex technical concepts into clear business narratives.
• Collaborate with practice and sales leadership to develop packaged offerings, accelerators, and repeatable delivery frameworks.

People & Practice Development

• Mentor and develop consultants, providing technical guidance, career coaching, and performance feedback.
• Contribute to internal intellectual property, including delivery playbooks, reference architectures, estimation models, and case studies.
• Represent the practice within partner ecosystems and at industry events, client forums, and thought-leadership engagements.

Experience

Required Qualifications

• 8+ years of experience in data engineering, analytics, or AI/ML roles.
• Minimum 3+ years in a consulting or professional services environment leading client-facing engagements.
• Proven success delivering complex, multi-phase data or AI programs valued between $500K and $5M+ on time and within budget.
• Experience managing distributed, cross-functional teams in matrixed delivery models, including offshore and nearshore resources.

Technical Expertise

• Production-scale experience with modern cloud data platforms such as Databricks (Delta Lake, Unity Catalog, MLflow), Snowflake, BigQuery, or Azure Synapse.
• Strong background in data engineering and orchestration tools, including dbt, Apache Spark, Airflow, Kafka, or comparable technologies.
• Experience operationalizing ML models, with familiarity in LLMs, RAG architectures, and AI governance principles.
• Hands‑on knowledge of data governance, cataloging, lineage, access control, and quality frameworks (e.g., Unity Catalog, Collibra, Alation).
• Proficiency with at least one major cloud provider (AWS, Azure, or GCP), including working knowledge of DevOps and Infrastructure‑as‑Code practices (Terraform, CI/CD).

Leadership & Professional Skills

• Strong executive presence with the ability to present to C‑level audiences and facilitate senior stakeholder discussions.
• Excellent written and verbal communication skills, capable of producing client‑ready architecture documents, executive presentations, and SOWs.
• Structured, analytical problem‑solver comfortable navigating ambiguity and fast‑paced consulting environments.
• Demonstrated ability to build and sustain trusted client relationships that drive repeat and expansion business.

Preferred Qualifications

• Industry certifications (Databricks, Google Cloud Professional Data Engineer, AWS Data Analytics, Azure Data Engineer).
• Domain experience in Financial Services (AML, Risk, Treasury), Consumer Products, Life Sciences, or Media & Entertainment.
• Exposure to AML / Financial Crime platforms and AI solutions (e.g., Actimize, NICE Actimize, ThetaRay, or similar).
• Experience supporting FP&A, ERP, or Master Data Management modernization initiatives.
• MBA or advanced degree in Computer Science, Data Science, Engineering, or a related discipline.
• Established relationships within cloud and data technology partner ecosystems (Databricks, Google Cloud, Microsoft, Snowflake).

About Matrix:

Matrix is a global, dynamic, fast-growing technical consultancy and leading technology services company with 13,000 employees worldwide. Since its foundation in 2001, Matrix has made numerous acquisitions and executed some of the largest, most significant projects. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and serves as representatives for the world's leading software vendors. With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Security, Matrix's customer base includes major organizations in Israel and a steadily growing client base worldwide. We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employees' contributions are integral to our company's future. Matrix's success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and growing together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization.

To Learn More, Visit: www.matrix-ifs.com

Equal Opportunity Employer:

Matrix is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.

Key skills/competency

• Data Engineering
• AI/ML Delivery
• Cloud Architecture
• Technical Leadership
• Client Engagement
• Data Governance
• Solution Design
• Project Management
• Databricks
• AWS/Azure/GCP