Latest AI JobsBrowse Jobs
Oyster logo

Senior Director, Data Platform and AI

OysterEMEAProduct Development
Apply on company site
Salary
Not listed
Job type
Full-time
Posted
12 Jun 2026
Status
Open · checked 8d ago

About this role

Oyster is seeking a Senior Director, Data Platform and AI to own the technical infrastructure and strategic direction that transforms the company into an AI-native global platform. This remote leadership role is open to candidates based within the +3 / -7 UTC time zones and suits an experienced technical leader passionate about driving organizational change.

Role Overview

As a vital member of the Senior Tech Leadership Team, this specialized role unites data platforms, product analytics pipelines, knowledge management, and advanced automation layer frameworks. The professional chosen for this position will lead the transition of AI initiatives from isolated experimentation into centralized production systems. This mandate involves both organizational transformation and technical architecture, requiring the leader to optimize internal workflows, modernize knowledge systems, and enhance the customer-facing platform.

Key Responsibilities

Drive the company-wide AI agenda by scaling local AI initiatives into centralized production systems that generate measurable business value.
Partner with Product, Engineering, and operational leaders to embed AI capabilities directly into customer-facing platforms, internal workflows, and core business processes.
Serve as the ultimate technical authority for data and AI infrastructure, making critical architectural decisions regarding MLOps pipelines, LLM orchestration frameworks, and distributed data systems.
Oversee the development of a scalable corporate data platform to serve as the foundational bedrock for all machine learning and AI capabilities.
Rebuild and evolve company-wide data structures and connectivity pipelines optimized to deploy, run, and maintain AI models efficiently while lowering the cost-to-serve.
Transform the internal knowledge base by building systemic data architecture that converts unstructured information into intelligent, searchable assets.
Set company-wide tooling standards, maintain technical quality guardrails, and establish engineering best practices for embedded AI specialists across different business units.
Maintain high levels of ethical compliance, ensuring global AI initiatives strictly adhere to data privacy, platform security, and ethical standards.
Partner deeply with People and Operations functions to champion organizational AI capability, replacing operational uncertainty with structured training loops.
Drive change management and literacy efforts to reshape daily workflows, shifting habits from traditional manual processes to AI-assisted operations.

Requirements

A genuine passion for artificial intelligence with a demonstrated history of driving internal organizational change and shifting employee workflows.
Proven experience operating within a service-delivery model or complex operational business where data strategy directly impacts intricate real-world workflows.
A professional history weighted heavily toward data engineering, distributed systems development, platform services infrastructure, or system architecture.
Deep technical expertise in distributed data systems, MLOps pipelines, and LLM orchestration, with the ability to evaluate complex models and emerging technologies.
Documented success building, testing, and scaling complex asynchronous data structures, machine learning routing layers, or high-volume API integrations.
Comprehensive familiarity with model validation systems, technical anomaly logging, data pipeline health metrics, and automated governance frameworks.
Ability to view the organization holistically, designing data and AI solutions that optimize entire workstreams.
A reliable home internet connection and fluency in written and spoken English.

Nice to Have

Background architecting semantic search solutions, internal retrieval-augmented generation engine layers, or multi-tenant customer data structures from zero-to-one phases.

Skills and Tools

LLM
MLOps

Salary and Benefits

Enjoy 40 days off per year, including holidays and vacation, or more if required by the local country.
Access Plumm, an online mental well-being service.
Receive a monthly wellbeing allowance deposited into a ThanksBen wallet.
Flexible parental leave providing at least three months of paid leave for new parents, with job protection for up to 12 months or local requirements.
A remote work stipend provided for a laptop and home office equipment.

About the Company

Oyster is a global employment platform that enables companies to hire, pay, and care for brilliant people anywhere in the world. Distributed across more than 60 countries, Oyster operates on a remote-first model with no central office. The organization is a B Corp-certified global employment platform and has been recognized on lists including TIME and Statista's Top WorkTech Companies and Newsweek's Greatest Startup Workplaces.

How to Apply

Interested candidates should review the official job posting and submit their application on the official Oyster careers page.

Skills and tech stack

LLMMLOps

Questions candidates ask

Where is the Senior Director, Data Platform and AI position located?

While the role is posted in EMEA, Oyster positions are fully remote and can be done from home, provided the candidate is based within the +3 / -7 UTC time zone range and authorized to work where they live.

What department does this role belong to?

This role sits within the Product Development department and is a part of the Senior Tech Leadership Team.

What are the primary technical focus areas for this role?

The role focuses heavily on distributed data systems, MLOps pipelines, LLM orchestration frameworks, and scaling centralized corporate data platforms.

What kind of experience is required for this position?

Candidates need a strong background in data engineering, distributed systems, platform services infrastructure, or system architecture, alongside proven experience driving organizational change and AI adoption across a business.

What benefits are provided by Oyster?

Oyster offers 40 days of paid time off per year, mental health support via Plumm, a monthly wellbeing allowance, flexible parental leave of at least three months of paid leave, and a work-from-home stipend for office equipment.

Ready to apply?

The application is on the official Oyster careers page.

Apply on company site