Job Summary
Data Solution Consultants will work as a strategic leader who spearheads data science and engineering initiatives and tackle complex business challenges. You will help clients to achieve tangible data-driven outcomes through the use of TechX Data & AI solutions, helping data teams complete projects and integrate our platform solutions into client's enterprise ecosystem. You will be a technical advisor internally to the sales team, and work across teams of cloud infrastructure, security, enterprise architect, data engineer, data scientist, and developers. You'll grow as a leader in your field, while finding solutions to clients biggest challenges in data engineering, data analytics, and data science problems. To success in this role, you need to be passionate about client liaison, data and cloud infrastructure technology, building key learnings and problem solving, as well as good communicators with strong people skills.
Responsibilities:
- Provide Subject Matter Expertise for data science and engineering solutions. Consult on data platform programs and provide client-facing technical leadership as a data subject matter expert.
- Work closely with sales teams to understand clients needs, find solutions, and develop business proposals. Analyze potential opportunities and develop data solution strategies for each customer account.
- Ensure appropriate strategy/solution is proposed to customer and monitor actions and results against plans. Provide demonstrations, presentations, training, and consultation for potential clients.
- Work with the team to solve, analyze, and create a plan to tackle clients business challenges. Establish strong collaboration with internal and external stakeholders to ensure project delivery
Knowledge & Skills
- Masters or bachelors in computer science, Engineering, Information Systems, or a related field, MBA would be preferred but not mandatory
- Strong analytical and proven ability to quickly understand complex business and systems and provide a suited solution for clients.
- Understand business requirements to translate them into technical requirements that technical team members can drive into the project design and delivery
- Understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way
- Resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
- Excellent verbal, written, and interpersonal communication skills (both Thai and English)
- Strong organizational & time management skills
- Self-starter with a growth mindset
Background & Experience
- 5+ of Experience in Data Science and Engineering Consulting, Technical Consulting, or in a client facing role providing Data Analytics solutions
- 3+ of Experience in Data Architecture, Data Modeler, Data Management, Data Engineering, Data Science, or Data Analytics with large-scale data in the distributed data platform and overseeing complex data projects in an enterprise environment.
- Experience in leading the enterprise data strategy, system design and implementation of the technical solutions
- Experience in designing Data & AI architecture, operating data pipelines, and maintaining data science and engineering solutions, all within distributed systems
- Experience in building and deploying large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting
- Experience in designing and developing real-time and low-latency data streaming solutions leveraging leading technologies and industry practices
- Experience in defining and implementing data governance and security policies
- Experience with data visualization techniques and can communicate the insights as per the audience
- Experience in managing Proof of Concepts and creating solution demonstrations
- Proven track record in client engagement, relationship building, and project management
- Proven ability to quickly and deeply learn new technologies and clearly communicate their value proposition
