Data Mesh Enablement Lead

TymeX•Seattle, WA

23d

About The Position

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 Mesh Enablement 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.

Requirements

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 Haves

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.

Responsibilities

Enable 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.
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.