Data Experience Lead at TymeX

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

10 May, 26

Salary

0.0

Posted On

09 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Change Management, Transformation, Enablement, Consulting, Communication, Project Management, Data Modeling, Semantics, Ingestion, Medallion Layers, Lineage, Data Quality, Analytics, Cloud, Visual Communication, User Experience Design

Industry

Software Development

Description

About the Role TymeX is building one of the most advanced Data & AI platforms in digital banking inspired by Data Mesh Principles. A core pillar of our strategy is to rollout "Data-as-a-Product" operating model & culture change within Product Teams, while ensuring every data product across our domains is interoperable, trustworthy, and AI-ready. We are looking for a Data Experience Lead to champion TymeX’s transition to a Data Mesh and Data‑as‑a‑Product operating model as part of launching the new Data & AI Platform. This role ensures product teams across the group can design, build, publish, and adopt high‑quality data products - and develop the skills, confidence, and mindset required for federated ownership, becoming self-sufficient in Product Analytics & Data & AI driven product innovation. This is a hands‑on, people‑focused role combining enablement, technical and process consulting, communication, and technical acumen to work with Data, Data Mesh Platform and tooling being enabled as part of this project. You will be the connector between platform, data, engineering, product teams, and end users in the local banks. What You Will DoEnable Product Teams to Deliver Data Products Coach pods to design, build, deploy, and maintain Data Products as per our playbooks. Translate platform playbooks into simple, actionable user guides. Guide teams evolving into new Data Mesh roles (DPO, Steward, Data Architect, Analytics Engineer etc). Provide high‑touch support for early‑wave or complex Data Products. Build a High‑Quality Enablement Engine Turn data products & underlying platform relatable & interesting for everyone across the organization. Develop a digital enablement portal (guides, checklists, templates, videos). Create structured training pathways and capability uplift programs for all impacted staff/users. Produce clear visual artifacts - diagrams, flows, web‑style docs, promo videos to help with adoption & understanding. Run onboarding, workshops, roadshows, Q&A sessions, town hall presentations, and demos. Consulting, Support & POCs Provide structured guidance across ingestion patterns, medallion design, semantics, quality, and metrics. In other words, be the voice of our playbooks designed to ensure consistence in a mesh environment. Execute or coordinate targeted POCs for pods needing specialized help. Coordinate expert resourcing required to build PoCs from the Mesh Platform Team. Manage PoC’s as mini-project. Identify and relay reusable patterns back to Data Mesh Platform Team. Organize Showcases to create visibility, excitement, and promote reuse. Own the Mesh Experience Layer of the Platform Own the end‑to‑end user experience design for the Data Mesh Platform, ensuring clarity, trust, and ease of use. Shape how users discover, understand, and interact with data products across domains. Maintain UX standards partnering with our customer facing UX Design team. Take a deeply user‑centric approach: reduce friction, minimize cognitive load, and elevate the data mesh experience driving the change through intuitive and guided technology. Engage with end users such as product teams, analysts, engineers, and bank users, business leaders to understand needs and gather insights. Integrate continuous feedback loops and iterate quickly to improve platform usability. Ensure all Mesh Experience features reinforce the "data‑as‑a‑product" mindset and support adoption. Drive Communication & Alignment Maintain active channels (Slack, monthly showcases, team updates, wins, success stories). Communicate expectations, standards, and timelines clearly. Highlight wins and success stories to build momentum. Curate external content that is relevant to our transformation e.g. Databricks newsletter Monitor Adoption Keep track of progress of rollout, leader boards, and raise blockers with appropriate stakeholders. Use data to highlight platform adoption, culture change, wins and challenges. Produce clear and compelling summaries on adoption progress and also to enable decision making. Manage end user feedback, request for assistance and be the link between users and platform team. Core Capabilities Strong background in change, transformation, enablement, or consulting. Exceptional communication skills - written, verbal, and visual. Ability to simplify complex concepts and teach them effectively. Strong organizational discipline & project management skills - you will work across multiple product teams and local banks in different countries. Foundational understanding of core data platform concepts such as : data modeling, semantics, ingestion, medallion layers, lineage, quality, analytics, cloud. Comfortable designing structured, intuitive communications and visuals (Slides, Confluence, Videos, Slack content etc.). Nice to Have Exposure to Data Mesh, Data‑as‑a‑Product, or modern data platform architecture. Familiarity with Databricks, AWS, SQL. Product management, BA, or engineering background. Experience supporting distributed or multi‑country teams. Performance bonus up to 2 months. 13th month salary (pro-rata). 15 days annual leave + 3 sick days + birthday leave + Christmas leave. Meal & parking allowance. Full salary & benefits during probation. Premium healthcare for you and your family. Growth pathways, conferences, and continuous learning. International, values-driven culture. Overseas travel opportunities. Internal hackathons, team events, Blue Card program. 40-hour week, Monday–Friday. This role is Vietnam based in Ho Chi Minh City and open for Vietnamese speaking only.

Responsibilities

This role champions the transition to a Data Mesh and Data-as-a-Product operating model by enabling product teams to design, build, and adopt high-quality, interoperable data products. Responsibilities include coaching teams, building digital enablement engines, providing technical consulting, and owning the end-to-end user experience layer of the Data Mesh Platform.