Data Strategy Consultant

Posted:
2/23/2026, 4:47:43 PM

Location(s):
Hong Kong, China

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Consulting ⋅ Data & Analytics

Assist client teams in the design and implementation of scalable data solutions using modern technologies, under the guidance of senior team members. Help identify gaps and inefficiencies in clients’ existing architecture, working closely with senior colleagues to support analysis and solution development. Support the creation of roadmaps and contribute to recommendations for improving client processes and architecture, with mentorship from more experienced team members. Participate in client workshops throughout the project lifecycle, assisting with preparation, documentation, and follow-up actions. Communicate with clients to gather requirements and ensure project deliverables align with their needs, with support from senior team members. Share your ideas and contribute to discussions on innovative engineering, design, and strategy, while learning from experienced team members.

Minimum Qualifications Advanced proficiency in Data Architecture minimum 5 years of experience advising on data architecture Well rounded knowledge of technical and non technical aspects of data management, including Reference Data Management, Data Quality Improvement, Metadata Management, Data Marketplace and Data Governance. Experience working in a client facing consulting environment to build trusted relationships with client stakeholders and act as a trusted advisor. Proficiency in programming languages such as Python, R and in database and big data technologies including SQL, NoSQL, PySpark, Hive, etc. Experience working with cloud platforms such as AWS, GCP, or Azure Excellent communication written and oral and interpersonal skills.  Ability to apply analytical and creative thought process. Bonus qualifications Experience working with GenAI large language models LLMs and a strong enthusiasm for staying current with advancements in generative AI and applied machine learning Professional experience in data science, machine learning, and business analytics

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing