Ippon Technologies USA

Artificial Intelligence

• Lead and grow the practice across people, offerings, delivery standards, and market positioning.
• Continuously improve consulting methods, delivery playbooks, technical standards, and ways of working in collaboration with Customer Success and Senior Leadership.
• Build a strong team culture grounded in software craft, product thinking, architectural discipline, and practical AI adoption — with an emphasis on psychological safety, accountability, and measurable improvement.
• Recruit, develop, coach, and retain high-performing consultants, engineers, architects, product leaders, and delivery practitioners.
• Provide senior oversight across client engagements involving software development, product engineering, AI-enabled delivery, modernization, and architecture.
• Ensure solutions are maintainable, secure, scalable, and aligned to client outcomes, promoting modern practices such as continuous delivery, test automation, observability, and platform thinking.
• Use metrics such as DORA, flow metrics, and business outcome measures to drive evidence-based improvement.
• Help clients adopt flexible, sustainable delivery models that balance speed, governance, quality, and business value — coaching cross-functional teams on effective collaboration across product, engineering, architecture, security, and compliance.
• In collaboration with the CTO, shape APA's approach to applied AI across product engineering, software development, architecture, and delivery transformation.
• Help clients identify and pursue practical AI use cases that improve delivery speed, product quality, customer experience, or operational efficiency.
• Guide teams in the responsible use of AI-assisted development tools, agentic workflows, and intelligent applications, with clear understanding of associated risks including governance, security, privacy, and regulatory considerations.
• Partner with Ippon's data and cloud leaders to connect APA's AI capabilities with strengths in AWS, Snowflake, and data architecture.
• Support sales pursuits, proposals, and executive conversations — translating ambiguous client needs into clear engagement strategies, delivery plans, and measurable outcomes.
• Act as a trusted advisor to senior client stakeholders at the intersection of product, engineering, architecture, data, cloud, AI, and governance.
• Define and package APA offerings across AI-enabled product engineering, software modernization, delivery effectiveness, and engineering excellence.
• Drive brand awareness through thought leadership initiatives including events, blogs, white papers, and client success stories.

Head of AI Product, Architecture Consulting

Data Engineer

• Lead end-to-end delivery of scalable data platforms and data warehouse solutions
• Design and implement robust data architectures using Snowflake, AWS, Azure, and/or Databricks
• Provide hands-on technical leadership across projects, setting standards and guiding delivery teams
• Build, optimise, and maintain data pipelines, models, and storage layers to ensure reliable data outcomes
• Collaborate with data governance and reporting stakeholders to align solutions with broader data strategy
• Support pre-sales activities by contributing to solution design, scoping, and client proposals
• Work closely with data scientists, analysts, and business stakeholders to deliver impactful solutions
• Translate complex technical concepts into clear, actionable insights
• Present solutions and progress confidently to both technical and non-technical audiences
• Partner with project managers to ensure delivery is on track, within scope, and aligned to expectations

Lead Data Engineering Consultant

Solutions Engineer

• Provide deep expertise in AWS MAP programs, migration frameworks, and modernization pathways including rehost, replatform, and refactor strategies
• Architect and design cloud-native solutions that optimize performance, cost, and security while ensuring alignment with clients' strategic goals and product roadmap, with strong emphasis on networking, IAM, governance, resiliency, and compliance
• Evaluate and recommend the most effective AWS cloud solutions and AI technologies for each project, ensuring scalability, security, and cost-efficiency
• Identify and mitigate potential architectural and technological risks in cloud deployments, ensuring the implementation of secure, resilient, and scalable solutions
• Serve as a senior technical advisor for Bedrock, GenAI, and cloud-native innovation opportunities, helping clients evaluate practical enterprise AI adoption
• Promote AWS best practices and standards in architecture, security, and deployment
• Document architectures, assessments, and recommendations in detailed, actionable reports that provide clear, business-aligned strategies for cloud adoption and AI integration
• Help shape Ippon’s cloud and AI go-to-market strategy by identifying repeatable offerings, accelerators, and strategic partnership opportunities
• Lead technical discovery, assessments, and solution architecture for cloud migration and modernization opportunities across AWS and Azure environments
• Support pre-sales engagements by translating client business needs into scalable technical strategies, solution designs, and Statements of Work
• Support clients in developing cloud architecture strategies centered on AWS, aligning these solutions with clients' business objectives to drive innovation, scalability, and efficiency
• Support clients in developing migration and modernization journeys, leveraging AWS programs like MAP, the Well-Architected Framework, or Immersion Days
• Collaborate with client stakeholders to understand their business challenges and objectives, ensuring that solutions are tailored to address real business needs while leveraging cutting-edge AWS services
• Stay ahead of industry trends in the AWS portfolio, complementary ISVs, and cloud computing, driving innovation by sharing knowledge with clients and internal teams
• Be a visible thought leader by authoring blogs, presenting at industry conferences, and leading internal and external knowledge-sharing initiatives
• Collaborate across teams to enhance and expand the organization’s cloud architecture capabilities
• Mentor consultants and engineers through technical leadership, architecture reviews, and best practice guidance

Staff AWS Solution Architecture Consultant

• Drive end-to-end delivery of modern, scalable data platform and warehouse solutions for clients.
• Design and architect robust data ecosystems using technologies such as Snowflake, AWS, Azure, and Databricks, ensuring performance, scalability, and maintainability.
• Provide strong hands-on technical leadership—guiding teams, setting engineering standards, and mentoring consultants to uplift capability across projects.
• Engineer, optimise, and govern data pipelines, models, and storage layers to support high-quality, reliable data outcomes.
• Partner closely with Data Governance and Reporting Principals to align architecture with enterprise data strategy and best practices.
• Contribute to solution design, scope technical engagements, and support pre-sales activities by shaping pragmatic, value-driven client proposals.
• Work collaboratively with cross-functional teams including data scientists, analysts, and business stakeholders to deliver impactful solutions.
• Translate complex technical concepts into clear, meaningful insights for both technical and non-technical audiences.
• Present confidently to clients and internal stakeholders through structured, concise reports and storytelling.
• Collaborate with project managers to ensure delivery remains on track, within scope, and aligned to budget expectations.

Head of AI Product, Architecture Consulting

Lead Data Engineering Consultant

Staff AWS Solution Architecture Consultant

Principal Data Engineer