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: Atlanta, GA - 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.
- Manage engagement scope, delivery plans, milestones, dependencies, risks, and decision logs.
- 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 Atlanta, GA 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 working with Retail, Consumer Packaged Goods (CPG), or Financial Technology (FinTech) organizations, preferably in data-intensive environments 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.
