10-12+ years of experience in AI, data engineering, analytics, or technology delivery.
3+ years in customer-facing delivery leadership roles.
Hands-on experience with Databricks or similar lakehouse platforms.
Strong SQL skills and ability to work with complex data schemas.
Proven ability to manage distributed and cross-functional teams.
Excellent communication skills for engaging with both executives and technical teams.
Proficiency in leveraging AI tools to enhance productivity.
Responsibilities
Serve as the primary on-site contact for customers, engaging with stakeholders and technical teams.
Develop a deep understanding of the customer's business model and priorities.
Own the end-to-end delivery of AI and data engagements, aligning solutions with business objectives.
Prepare for customer meetings with thorough research and actionable deliverables.
Manage solution architecture, including data ingestion and governance.
Present technical designs and architectural trade-offs to stakeholders.
Lead delivery ceremonies and manage project scope, risks, and timelines.
Benefits
Hybrid work model with a minimum of 3 days onsite in Denver, CO.
Opportunity to work directly with customers and influence project outcomes.
Access to cutting-edge AI tools and technologies.
Mentorship opportunities for team members and engineers.
Engagement in diverse industries, enhancing professional growth.
Full Job Description
Confiz is seeking a Forward-Deployed Delivery Lead (AI & Data) who combines strong technical expertise, strategic delivery leadership, and a customer-first mindset.
We are looking for individuals with a Forward-Deployed Delivery (FDD) mindset who embed directly within customer environments, develop a deep understanding of business objectives and technical architecture, lead distributed delivery teams, and ensure the successful execution of AI and data-driven solutions. The ideal candidate brings hands-on technical knowledge, strong business acumen, and the ability to engage confidently with customer executives, architects, and engineering teams.
Work Location: Denver, CO - Hybrid (Minimum 3 days onsite per week)
Employment Type: Full-time
Responsibilities
Serve as the primary on-site point of contact for the customer, engaging with executive sponsors, business stakeholders, architects, and engineering teams.
Develop and maintain a comprehensive understanding of the customer's business model, business units, KPIs, priorities, and stakeholder landscape.
Own end-to-end delivery of strategic AI and data engagements, ensuring alignment between business objectives, technical solutions, and delivery outcomes.
Prepare for customer meetings through thorough research and bring tangible deliverables, including technical findings, prototypes, query results, and actionable recommendations.
Own and manage the end-to-end solution architecture, including data ingestion, data modeling, governance, AI agents, and underlying platforms.
Understand, interpret, and explain data schemas; independently write and execute SQL queries to address customer questions and business requirements.
Demonstrate a strong understanding of Databricks agents and agentic platforms, including their architecture, capabilities, limitations, and implementation.
Present technical designs, solution demonstrations, and architectural trade-offs to customer executives, architects, and technical stakeholders.
Review delivered solutions to ensure alignment with actual customer business needs and expected outcomes.
Lead delivery ceremonies, including sprint planning, daily standups, project reviews, and executive steering meetings.
Manage scope changes, competing priorities, and stakeholder expectations while maintaining delivery quality and timelines.
Provide clear and effective project updates to Confiz and customer leadership.
Translate customer requirements, business context, and feedback into actionable direction for distributed and offshore engineering teams.
Ensure engineering teams understand the business purpose behind their deliverables and can confidently communicate project progress and technical solutions.
Mentor team members and encourage engineers to independently present their work during customer meetings and demonstrations.
Identify emerging risks, changing business priorities, and potential opportunities for account growth, providing proactive recommendations.
Leverage AI tools in daily workflows to improve research, preparation, technical problem-solving, and delivery efficiency.
Requirements
10-12+ years of professional experience delivering data, analytics, or AI engagements, including at least 3 years in customer-facing delivery leadership.
Hands-on experience with Databricks or equivalent lakehouse platforms, including Unity Catalog, Delta Tables, Workflows, and data governance.
Strong SQL skills and practical experience working with notebooks, with the ability to quickly understand and explain unfamiliar data schemas.
Working knowledge of LLM-based agent architectures, including Retrieval-Augmented Generation (RAG), tool usage, orchestration, and evaluation.
Strong understanding of end-to-end data and AI solution architecture, including ingestion, data modeling, governance, and agentic platforms.
Proven ability to quickly understand new business domains and establish credibility with business and technical stakeholders.
Experience managing distributed, offshore, or cross-functional engineering teams.
Demonstrated ability to manage project delivery, stakeholder expectations, risks, scope, and competing priorities.
Excellent verbal and written communication skills, with the ability to engage effectively with both executive leadership and technical teams.
Strong analytical, problem-solving, and decision-making skills, with the ability to operate independently in ambiguous environments.
Willingness and ability to work on-site with customers in Denver, CO, at least 3 days per week.
Proficiency in leveraging AI tools to enhance daily productivity and delivery workflows.
Qualifications
Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related field.
10-12+ years of relevant professional experience in AI, data engineering, analytics, solution architecture, or technology delivery.
At least 3 years of experience leading customer-facing technology delivery engagements.
Good to Have
Databricks Certifications: Databricks Data Engineer or Generative AI Engineer certifications.
AI & Agentic Tooling: Hands-on experience with Databricks Genie, Mosaic AI, and agent development tools.
Technical Background: Previous experience as a Solution Architect, Data Engineer, or Product Manager before transitioning into delivery leadership.
Consulting Experience: Background in consulting or professional services, with accountability for both project delivery and account health.
Industry Experience: Experience in telecom, media, retail, or other data-intensive industries with multiple business units.
Data Governance: Experience establishing and implementing enterprise data governance frameworks across multiple business units.
AI-Native Mindset: Actively leveraging AI tools to accelerate research, technical problem-solving, and delivery workflows.
Business Acumen: Ability to connect technical implementations with measurable business outcomes and customer priorities.
Forward-Deployed Mindset: Comfortable working directly within customer environments, independently navigating technical ambiguity, and taking ownership of outcomes from discovery through delivery.
About Confiz
Confiz is a technology consulting company specializing in software development, cloud computing, data analytics, and mobile application development. The company was founded in 2005 and is headquartered in Lahore, Pakistan. Confiz has worked with clients in a variety of industries, including healthcare, finance, and retail. The company has a team of over 1000 employees and has offices in Pakistan, the United States, and the United Arab Emirates.
