Data Experience Lead

ABOUT CLIENT

Our client is using new technology to develop products for the banking industry

JOB DESCRIPTION

Train pods in designing, building, deploying, and maintaining Data Products based on established playbooks.
Simplify and translate platform playbooks into actionable user guides.
Assist teams transitioning into new Data Mesh roles (DPO, Steward, Data Architect, Analytics Engineer, etc.).
Provide hands-on support for early-wave or complex Data Products.
Make data products and platform accessible and engaging for all staff across the organization.
Develop a digital enablement portal including guides, checklists, templates, and videos.
Create structured training pathways and capability improvement programs for all affected staff/users.
Generate clear visual materials such as diagrams, flows, web-style docs, and promotional videos to aid adoption and understanding.
Facilitate onboarding, workshops, roadshows, Q&A sessions, town hall presentations, and demos.
Offer structured guidance across ingestion patterns, medallion design, semantics, quality, and metrics to ensure consistency in a mesh environment.
Execute or coordinate targeted POCs for pods needing specialized help.
Identify and communicate reusable patterns back to the Data Mesh Platform Team.
Organize Showcases to create visibility, excitement, and promote reuse.
Oversee the end-to-end user experience design for the Data Mesh Platform, aiming for clarity, trust, and ease of use.
Shape how users discover, understand, and interact with data products across domains.
Maintain UX standards in partnership with the customer-facing UX Design team.
Take a deeply user-centric approach to drive change through intuitive and guided technology.
Engage with end users to understand needs and gather insights.
Integrate continuous feedback loops and iterate quickly to improve platform usability.
Ensure all Mesh Experience features support adoption and reinforce the "data-as-a-product" mindset.
Maintain active channels for communication and updates.
Communicate expectations, standards, and timelines clearly.
Highlight wins and success stories to build momentum.
Curate relevant external content to support the transformation.
Monitor progress of rollout, leader boards, and raise blockers with appropriate stakeholders.
Utilize data to highlight platform adoption, culture change, wins, and challenges.
Produce clear and compelling summaries on adoption progress for decision making.
Manage end user feedback and be the link between users and the platform team.

JOB REQUIREMENT

Extensive experience in change, transformation, enablement, or consulting.
Outstanding communication skills across written, verbal, and visual mediums.
Proficiency in simplifying complex concepts for effective teaching.
Strong organizational and project management skills, with the ability to collaborate across multiple product teams and local banks in different countries.
Fundamental knowledge of core data platform concepts, including data modeling, semantics, ingestion, medallion layers, lineage, quality, analytics, and cloud technology.
Proficient in creating structured, intuitive communications and visuals using tools such as Slides, Confluence, Videos, and Slack content.
Exposure to Data Mesh, Data-as-a-Product, or modern data platform architecture.
Familiarity with Databricks, AWS, and SQL.
Background in product management, business analysis, or engineering.
Experience in supporting distributed or multi-country teams.

WHAT'S ON OFFER

Company offers meal and parking benefits.
Full benefits and probationary salary provided.
Insurance coverage as per Vietnamese labor law and premium health care for employees and their families.
Work environment is values-driven, international, and agile in nature.
Opportunities for overseas travel related to training and work.
Participation in internal Hackathons and company events such as team building, coffee runs, and blue card activities.
Additional benefits include a 13th-month salary and performance bonuses.
Employees receive 15 days of annual leave and 3 days of sick leave per year.
Work-life balance with a 40-hour workweek from Monday to Friday.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Project Management, Business Analyst, Data Analyst

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J02037

Status:

Close

Related Job:

AI Engineer Lead

Ho Chi Minh - Viet Nam


Outsource

  • AI
  • Python

Spearhead the development and deployment of various applications, pipelines, and workflows tailored for financial services applications. Take charge of critical technical determinations related to model choices, design of retrieval systems, workflow structuring, integration strategies, cost considerations, and latency issues. Develop methodologies for evaluation and regression testing, utilizing data analysis and failure diagnostics to enhance the effectiveness of solutions. Ensure that deployed solutions adhere to production standards encompassing reliability, security, observability, data security, and audit trails. Transform business, risk, and compliance prerequisites into actionable technical solutions in collaboration with clients and internal partners. Provide guidance to engineers, fostering the adoption of standardized AI engineering practices, frameworks, and development methodologies.

Negotiation

View details

Senior Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam


Product

  • Management
  • Backend
  • Data Engineering
  • Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

View details

Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering
  • Python

Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.

Negotiation

View details