Aimpoint Digital

• Work directly with business and technical stakeholders to identify high-value AI use cases and translate business problems into executable technical solutions. • Design and build enterprise-grade Claude enabled applications, agentic workflows, workflow copilots, knowledge assistants, and decision-support systems. • Help enterprise clients rationalize Claude licensing types, evaluate usage models, and design an overall licensing strategy aligned to adoption, governance, cost management, and business value. • Lead discovery sessions that map business processes, identify automation opportunities, assess human-in-the-loop requirements, and define measurable business outcomes. • Develop AI solution architectures that integrate Claude with enterprise systems, data platforms, APIs, vector databases, orchestration layers, and approval workflows. • Design and implement retrieval-augmented generation systems, tool-using agents, evaluation harnesses, prompt and context strategies, memory patterns, and guardrail frameworks. • Build prototypes quickly, then harden successful solutions into production-ready systems with proper observability, reliability, security, access control, and governance. • Partner with client executives, product owners, technical teams, legal, compliance, and security stakeholders to align AI solutions with enterprise risk requirements. • Develop reusable solution patterns, accelerators, technical demos, reference architectures, and thought leadership that strengthen Aimpoint Digital’s Anthropic practice. • Help clients define their AI operating model, including governance, model evaluation, adoption workflows, business ownership, and ongoing performance measurement. • Serve as a trusted advisor and hands-on builder for organizations adopting Claude across mission-critical workflows.

• Act as a trusted advisor to clients, partnering with business and technology leaders • Help clients determine where AI should be applied and define strategy • Lead engagements focused on AI opportunity assessment, strategy development, governance design • Assess current-state AI maturity and identify high-value use cases • Translate business needs into actionable AI strategies and roadmaps • Drive the development of go-to-market AI strategy offerings

• Work directly with business and technical stakeholders to identify high-value data and AI use cases that can be delivered on Databricks • Design, build, and deploy production-grade data and AI solutions using Databricks capabilities across the Lakehouse, Mosaic AI, Unity Catalog, Databricks SQL, Workflows, Delta Lake, Databricks Apps, Genie, Agents, and Lakebase • Lead client discovery sessions to understand business workflows, data availability, platform maturity, integration needs, and measurable success criteria • Architect AI-native data platforms that support agentic workflows, semantic analytics, model deployment, retrieval systems, optimization models, and operational applications • Build Genie rooms, semantic layers using Metric Views, decision-support applications, data products, AI applications, and agent memory architectures that help clients operationalize insight and action • Partner with data engineering, AI engineering, analytics, business, security, and governance stakeholders to design secure, scalable, production-ready solutions • Create prototypes, demos, technical reference architectures, and reusable accelerators that showcase the value of Databricks for enterprise AI and analytics workloads • Help clients modernize data pipelines, improve platform architecture, implement governance patterns, and deploy AI systems into operational workflows • Work with Aimpoint Digital’s alliance, sales, and delivery teams to shape Databricks-led opportunities and translate client needs into winning solution approaches • Develop thought leadership, solution accelerators, demos, and internal enablement materials that strengthen Aimpoint Digital’s Databricks practice

• Lead large, complex Analytics and AI strategy engagements for key clients, including multi-workstream initiatives spanning enterprise strategy, operating model design, governance, roadmap development, and value realization • Serve as a senior trusted advisor to executive stakeholders on enterprise Analytics and AI priorities, investments, transformation approaches, governance, and organizational adoption to grow strategic accounts • Guide clients through structured assessments of current-state analytics and AI maturity across people, process, technology, governance, and readiness for scale • Lead executive workshops, briefings, and stakeholder alignment sessions that drive decision-making, clarity, and buy-in across complex client organizations • Oversee the development of strategy deliverables, including roadmaps, operating models, governance structures, business cases, use-case prioritization frameworks, and transformation plans • Partner with decision science, engineering, and platform teams to ensure strategy recommendations are aligned to enterprise realities, delivery constraints, and long-term client objectives • Lead business development initiatives including proposals, solution shaping, strategic client pursuits, offering development, and go-to-market efforts that support practice growth • Coach and develop consultants, engagement managers, and other team members by providing leadership, feedback, and example in client service, strategic thinking, and executive communication • Develop new solutions/offerings, market-facing points of view, and intellectual property related to Data Strategy, AI Strategy, and enterprise transformation

• Lead client engagements focused on Enterprise Data & AI strategies • Conduct stakeholder interviews, workshops, and assessments to evaluate current-state analytics and AI maturity • Develop data monetization strategies • Identify and define data, analytics, & AI use cases • Work closely with cross functional teams to define future-state data architectures • Develop strategy deliverables, including roadmaps, operating models, governance structures • Support sales and business development by shaping proposals

• Deliver data analytics projects independently, build analytics products and applications following best practices, and enable organizations through training and coaching • Lead consulting teams (typically 1-3 people) through complex delivery work, including dashboard development, analytics process automation, data applications, data platform modernization, and change enablement • Work with stakeholders across all levels of an organization to define project scope, establish priorities, and ensure alignment per project timelines • Identify new business opportunities and contribute to strategic account growth • Contribute to pre-sales opportunities including defining scope and creating proposals • Lead and support internal initiatives that strengthen delivery operations and develop best practices across the organization

• Become a trusted data and AI advisor to our clients • Work independently as part of a small team to solve complex data engineering use-cases • Design and implement AI-optimized data platforms • Build and evolve semantic and analytical layers that power various tools • Use modern platforms and tooling to deliver scalable solutions • Engineer modern ELT/ETL pipelines • Design modern data models • Write production-ready code in SQL, Python, and Spark • Apply AI-assisted data engineering techniques • Contribute to the evolution of our AI-forward data engineering and infrastructure practice • Collaborate with analytics, data science, and ML project teams

• Become a trusted advisor working together with our clients, partnering with data owners, analysts, business users, and executive stakeholders to translate business needs into scalable analytics solutions • Work independently as part of a small team to solve complex analytics engineering use-cases across a variety of industries • Design and develop the analytical layer, including curated data models, semantic layers, metrics definitions, and transformation pipelines that power reporting, dashboards, self-service analytics, and AI use cases • Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications • Write high-quality code in SQL, Python, and Spark, and use software engineering tools and best-practices such as Git and CI/CD • Contribute to best practices around analytics engineering - data modeling, metric standardization, data quality, and governance • Accelerate analytics development velocity and improve solution quality by using AI-assisted engineering workflows and tools such as Codex, Claude, Copilot, and platform-native assistants like Snowflake Cortex Code and Databricks Genie Code • Partner closely with data engineers, analysts, data scientists to support production-grade analytics and AI applications

• Develop domain-specific thought leadership and originate high-impact AI use cases and solution accelerators (e.g., pricing optimization frameworks, assortment decision engines, inventory positioning models), translating repeatable client needs into scalable offerings and IP • Provide thought and execution leadership across enterprise Retail and CPG engagements —from problem framing and economic modeling through solution deployment and adoption • Serve as a trusted advisor to senior stakeholders (Chief Merchants, Chief Digital Officers, Supply Chain leaders), grounding recommendations in retail economics and operational reality • Work alongside our decision sciences and engineering teams to design and deploy AI-enabled decision systems across merchandising, pricing, supply chain, and customer facing domains • Drive operationalization of insights from work product development to embed intelligence into workflows, systems, and decision cadences • Mentor team members and support client relationship growth • Contribute to business development through solution shaping and thought leadership

• Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives on how to best solve their application needs • Develop, test, and maintain web applications using React, JavaScript, HTML, and CSS • Collaborate with the design and product teams to implement user-friendly and visually appealing interfaces • Develop and maintain RESTful APIs and backend systems, including CRUD applications and integrations with external APIs • Optimize applications for speed and scalability • Troubleshoot and debug issues to improve application performance and user experience • Stay up to date with emerging technologies and best practices in web development • Participate in code reviews to ensure code quality and adherence to development standards • Contribute to the development of technical documentation and user guides