• Own and drive end-to-end architecture, design, and delivery of modern cloud data and analytics solutions for enterprise customers across industries. • Translate business requirements into technical and data platform solutions that align with phData methodologies, standards, and best practices. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients. • Architect secure, scalable, and high-performing data pipelines and integration patterns leveraging modern cloud data platforms and tooling. • Guide implementation teams through design decisions, trade-offs, and best practices across the full solution lifecycle. • Collaborate with cross-functional partners including data engineering, analytics, ML, cloud platform, sales, and PMO to deliver successful client engagements. • Provide technical and strategic leadership during workshops, discovery sessions, design reviews, and project delivery. • Ensure high quality in deliverables through architecture reviews, code reviews, documentation, testing, and governance. • Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize reusable solution patterns. • Support pre-sales activities such as scoping, solutioning, and presenting technical approaches to client stakeholders. • Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, training, and mentoring. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders. • Share learnings and best practices across the organization to continuously improve delivery quality and efficiency. • Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives. • Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement. • Help define and refine practice standards, reusable assets, and delivery frameworks.

• Own and drive end-to-end architecture, solution design, and delivery of agentic AI solutions for enterprise clients across diverse industries. • Design and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform that can be deployed across multiple clients in a fixed-price format. • Translate ambiguous business problems into clear agentic solution designs that align with the phData Intelligence Platform, methodologies, standards, and best practices. • Architect production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance. before and after deployment. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients. • Collaborate with others to shape the architectural standards for how agentic capabilities and accelerators are built and deployed at clients. • Engage with cross-functional partners, including forward-deployed engineers, data scientists, data engineers, platform/DevOps engineers, and business stakeholders, to deliver successful client engagements. • Ensure high quality in deliverables through code reviews, documentation, testing, governance, and adherence to security and compliance standards. • Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating AI solutions. • Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to AI engineering. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders. • Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives. • Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.

• プリセールスの段階からお客様の課題発見から課題解決の実装をする • 既存の案件を成功確率を最大化するために、お客様と共創しながらプロダクト開発を行う • Tailor Platformの進化に直接貢献する • ソリューションアーキテクトとしてのバックグラウンドを活かして期待される役割を自ら考え選択する

• Leading four Regional Solutions Engineering Managers directly (AMER, EMEA North, EMEA South, Channel/SMB), with matrix functional oversight of emerging-markets SE capability in LATAM and APAC • Designing and executing the global SE operating model: AE-aligned coverage by segment and a clear career path from IC through senior management • Partnering with global leaders in Customer Success, Revenue, R&D, Engineering, and others to drive KPIs and achieve OKRs • Developing the SE teams to facilitate technical storytelling and drive the narrative during our pre-sales cycle • Owning accountability for all aspects of the technical evaluation starting in the discovery stage (SS2), progressing through evaluation (SS3), and all the way to business close — for new bookings, expansion, and renewal • Driving the shift to consultative selling: proactive discovery, solution design mapped to customer outcomes, quantified ROI, and post-sale optimization through Customer Success • Championing and leveraging AI to drive SE team productivity including AI coding tools, automated demo and PoC generation, and AI-assisted discovery and solution design to accelerate ramp, improve deal velocity, and free SE capacity for high-judgment work • Strategizing on driving business objectives through our Value Engineering process, which leverages real quantitative customer data • Partnering with our Demo Engineering team to build compelling examples that showcase what our technology has to offer and prove out ROI • Supporting quarterly quota attainment by achieving technical wins on net new business • Implementing best practices and data-driven programs to improve results, including win rates, sales cycle, product adoption, as well as the efficiency of our revenue support functions • Enforcing operational best practices on the team by maintaining consistent communication with customers and partnering with account teams to accurately forecast technical wins • Recruiting, developing, and retaining senior SE talent and a strong management bench • Being a trusted advisor and consultant internally and externally.