Data Practice Architect/Data Solution Lead

Function Cloud & Data Engineering Our Company

We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

Job description

Role Overview

We are seeking a highly experienced and strategic Data Solution Lead to drive growth across the North America region through innovative enterprise data and AI solutions. This role requires a strong blend of technology leadership, solution architecture, business development, and stakeholder management expertise.

Key Responsibilities

• Strategic Leadership & Growth Contribute to the growth and expansion of the Data & AI practice across multiple client accounts in the USA region.
• Partner with sales, account teams, and business units to identify opportunities and build differentiated Data/AI solutions.
• Act as a trusted advisor to enterprise customers on modern data platform transformation initiatives.
• Solution Architecture & Delivery Design and architect end-to-end AI-powered enterprise data platforms on cloud hyperscalers such as AWS, Azure and GCP.
• Lead enterprise solutioning efforts for large-scale data modernization, analytics, and AI transformation programs.
• Build thought leadership solutions leveraging technologies such as Snowflake, Databricks and Fabric.
• Define scalable architectures covering Data pipelines/ETLs, Data Governance, Security & Compliance, AIT integration across the data lifecycle.
• Drive adoption of modern engineering practices including DataOps, MLOps, LLMOps and AIOps.
• Presales & Innovation Lead proactive and reactive RFP/RFI responses as a Data & AI leader.
• Collaborate with internal teams to create industry-specific and cross-platform solutions, including SAP-integrated data platforms.
• Stakeholder & Team Collaboration Influence both internal and external stakeholders through strong domain expertise and market understanding in the Data/AI ecosystem.
• Work closely with cross-functional teams, delivery leaders, and business units to drive solution alignment and execution.
• Conduct client workshops, architecture reviews, and executive presentations as needed.

Required Skills & Experience

• Tech Skills: Practice Architect to contribute to the growth in USA region across multiple accounts
• Experience in selling and building large enterprise data platform
• Experience solutioning end-end to AI powered Data Platform in any of the hyper-scalars (GCP, Azure or AWS)
• Responsible to lead proactive and reactive Data/AI RFPs/RFIs as a data leader
• Thought leadership building solutions on Snowflake, Databricks and Fabric
• Excellent understanding of new age Data pipeline (ETLs), Data Governance and Security, Infusion of AI across Data Life Cycle
• Good understanding of DataOps, MLOps, LLMOps and AI Ops
• Experience building fit for purpose - PoCs, Data Accelerators and Frameworks
• Knowledge of Automative, BFSI, Energy domain preferred
• Recent certification in TOGAF, DAMA preferred
• Management skills: Ability to influence external and internal stakeholders with state of the solutions in Data/AI space
• Strong articulation and concise communication skills
• Highly collaborative with internal leads and cross-BU teams to build joint solutions (eg: SAP based Data platforms)
• Willing to travel on a need basis for client workshops

Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field. 12+ years of experience in Data Engineering, Analytics, AI, or Enterprise Architecture roles. Proven track record in enterprise consulting, solution architecture, and presales leadership.

About us

We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.

Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic.

Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

E-mail us for data privacy inquiries or technical support.