Head of Data and AI Products Job at ASML (Veldhoven)

Head of AI Products

N26 is looking for a Head of AI Products to partner with our AI and Data Science...

Location

Germany , Berlin

Salary:

Not provided

N26

Expiration Date

Until further notice

Requirements

5-7+ years of product management experience, with a significant portion focused on AI, ML, or data-driven products
Proven experience partnering with Data Science and AI experts — you understand how DS and AI works and know how to turn models into products
Strong technical literacy — you can distinguish between ML and GenAI approaches, understand trade-offs, and engage credibly with technical teams
Data-driven mindset — comfort working with complex datasets, defining meaningful KPIs, and making decisions grounded in evidence
Financial services experience preferred — familiarity with regulatory requirements, compliance considerations, and the operational realities of banking
Agile practitioner — experience managing multiple workstreams in fast-paced, iterative environments
Excellent communication skills — the ability to translate complex technical concepts for non-technical audiences and align diverse stakeholders around a shared vision
Strong translator between worlds — you can bridge the gap between AI / Data Science experts and Product / Business stakeholders in both directions, ensuring mutual understanding and aligned priorities

Job Responsibility

Own and drive the AI product roadmap across ML and GenAI initiatives, balancing near-term delivery with strategic bets
Partner closely with the different N26 Product Segments and with the AI & Data Science team on priorities, planning cycles, and shared OKRs
Lead the end-to-end product lifecycle for AI initiatives — from problem framing and opportunity sizing through development, launch, and iteration
Define and roll out AI product best practices across the organization — including the AI product lifecycle, collaboration model with Data Science, evaluation frameworks, guardrails, and progressive rollout standards
Contribute to N26's company-wide AI strategy, including AI fluency programs, governance frameworks, and cross-functional AI adoption
Support the AI Champions group and coordinate AI strategy across segments
Manage and develop a team of 2-3 AI Product Managers, fostering a culture of experimentation, rigor, and user-centricity
Act as a trusted advisor to other PTX teams looking to integrate AI into their products, sharing best practices and lessons learned
Manage stakeholder communication across Product, Data Science, Engineering, Compliance, and senior leadership
Define and track KPIs that measure both model performance and business value, ensuring accountability for outcomes

Head of AI Products

The Head of AI Products is responsible for the setup and lifecycle management of...

Location

Italy , Milano

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, or Business
Strong understanding of the AI development lifecycle and software productization patterns (ToGaf certification is a plus)
Experience in enterprise-level product strategy and architecture in data and AI in cloud (Cloud architect certification is a plus)
Experience managing vendor partnerships
10+ years in Technical Solutions Delivery, preferably in SaaS or AI & Data software
Proven ability to move beyond POCs to deliver industrial production-grade, scalable products that drive tangible business outcomes
Proven track record in leading end-to-end integrations across transactional (BSS), data, and AI platforms to deliver unified, end-to-end business processes
Strong financial acumen
ability to manage P&L, pricing strategies, and build business cases
Experience leading large / distributed teams to deliver AI / Data products rollouts in complex multinational Environment

Job Responsibility

Product delivery, ownership and Lifecycle Management: Lead the ideation, roadmap, development, and sunsetting of AI products, ensuring they are configurable, scalable, and profitable
Product Portfolio Management: Rationalization of existing products and definition of strategic assets
Product value generation vs cost balance: Own the Product value chain, ensuring products generate sufficient internal recharge or external revenue to cover costs and deliver profit
Product Value Stream Delivery and Cross-Functional Orchestration: lead product value streams coordinating AI product team engineers and pulling resources from the AI Platform, Models, and Agentic AI teams
Market Alignment: Bridge the gap between Group IT and Local Markets/External Customers, moving from a "push" approach to a "customer-centric" design approach
External Sales Enablement: Collaborate with partners like Microsoft and Google, and internal sales teams to package AI products for sale to external enterprise customers

Head of Data and Analytics

As the Head of Data & Analytics, you will be responsible for building and leadin...

Location

United States , San Francisco

Salary:

200000.00 - 280000.00 USD / Year

Speak

Expiration Date

Until further notice

Requirements

Proven experience building and leading high-performing data and analytics teams at a scaled tech company
Deep understanding of modern data stacks and tools: e.g., BigQuery, Airflow, Mode, Amplitude, dbt, Looker, or similar
Strong technical foundation in SQL, and proficiency in Python or similar languages for analytics and modeling
Demonstrated success in using data to drive measurable improvements in product and growth KPIs
Strong knowledge of data governance, privacy, and compliance frameworks
Ability to translate complex data into clear insights and narratives for executive and cross-functional stakeholders
Strategic mindset with a willingness to dive into hands-on problem solving when needed
Excellent communication skills and experience influencing senior leaders and cross-functional partners

Job Responsibility

Build and lead a high-performing team of analysts and data engineers that support teams across product, growth, marketing, curriculum, finance, leadership, and more
Define and own the long-term data vision, strategy, and roadmap across infrastructure, analytics, and governance, with a specific focus on the use of AI and related tools to enable the team and scalability
Standardize key metrics and definitions across the organization, driving consistency and alignment
Develop and maintain robust, scalable data pipelines with >99% uptime and automated monitoring
Build and promote self-serve data tools and dashboards that empower teams to access insights faster
Increase experimentation velocity in partnership with Product and Growth, while improving rigor and accuracy of results
Establish strong data governance, ensuring compliance with global privacy regulations (GDPR, CCPA, etc.)
Hire, coach, and mentor data talent, growing the team while maintaining high standards for quality, accuracy, and reliability
Drive adoption of a data-first culture across the company through education, storytelling, and partnership

What we offer

Join a fantastic, tight-knit team at the right time
Do your life's work with people you’ll love working with
Global in nature
Impact people's lives in a major way

Fulltime

Head of AI Data Science, Intelligence Ventures

The Head of AI Data Science serves as the head of AI research and leader of data...

Location

United States , New York

Salary:

263200.00 - 393800.00 USD / Year

Spectrum

Expiration Date

Until further notice

Requirements

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks
experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners
comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams
experience recruiting and developing senior ML talent in competitive markets

Job Responsibility

Direct the research, design, and training of the platform's proprietary transformer-based behavioral embedding model — a multi-entity architecture that encodes household behavior across multiple signal sources into dense, privacy-safe vector representations. Own the full model development lifecycle from architecture decisions and training methodology through validation, deployment, and ongoing iteration as new signal sources and use cases are introduced
Lead the design and build of the platform's Feature Store — translating embedding representations into interpretable, actionable behavioral signals including purchase propensities, category interest intensities, lifestyle affinities, and behavior velocity signals. Oversee the outcome anchoring methodology that trains predictive models against external third-party datasets to produce validated, commercially relevant intelligence outputs across target verticals
Partner with the Head of Technology and external development partners to ensure the AI/ML architecture is production-grade, built for household-scale throughput, and integrated cleanly into the platform's cloud-native infrastructure. Establish model evaluation frameworks, quality benchmarks, and MLOps practices that enforce a strong bias toward production-deployed, commercially validated outputs — not just research-quality results
Serve as the platform's primary AI research voice in external partner conversations — including technical engagements with cloud AI platforms, frontier model teams, and enterprise data partners — articulating the platform's embedding architecture, signal differentiation, and model enrichment value proposition to sophisticated technical counterparts. Contribute to the development of packaged intelligence products such as behavioral demand indices, persona clusters, and predictive propensity scores
Establish the platform's responsible AI framework — including bias testing protocols for behavioral embeddings, model documentation standards, and privacy-preserving ML techniques — ensuring all intelligence products meet ethical and regulatory standards for consumer behavioral data
Build and lead a team of data scientists and ML researchers capable of competing with talent from the world's leading AI research and applied ML organizations. Establish the team's research agenda, hiring priorities, and culture of rigorous experimentation — maintaining a clear bias toward applied, production-oriented work while preserving the intellectual ambition required to stay ahead of a rapidly evolving AI landscape

Fulltime

Group Head of Data Governance and Trust

The Group Head of Data Governance and Trust is responsible for driving the Group...

Location

United Kingdom

Salary:

Not provided

Admiral Group Plc

Expiration Date

Until further notice

Requirements

Significant senior level experience in Data governance, Data management, risk, or related disciplines within complex or regulated organisations
Strong understanding of data governance frameworks, data ethics, privacy, and responsible AI
Experience designing and embedding enterprise wide governance models that are practical and value focused
Strong strategic thinking with the ability to operate at both executive and delivery levels
Excellent leadership, communication and collaboration skills

Job Responsibility

Defines frameworks and standards that will support local Data leaders to classify and rationalise their Data products
Lead the evolution of the Group Data Marketplace to provide a seamless discovery experience, ensuring that Data is easy to find, understand and consume
Define and implement lean, consistent Data standards across the Group to reduce fragmentation and lower the barriers to cross-entity Data sharing
Work with Risk, Legal, and Compliance teams / functions to translate regulatory requirements into clear, practical data controls
Work with relevant risk and ethics teams / functions to establish practical guardrails for ethical AI and Data usage, ensuring that trust and privacy are embedded into the product lifecycle without stifling innovation
Foster a culture of Data accountability within business units / entities
Provide assurance to senior leadership that data related risks are understood, managed, and monitored

What we offer

33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
Option to buy or sell up to an additional five days of annual leave
Eligible for up to £3,600 of free shares each year after one year of service
Financial & Mortgage Advice
24-Hour Ecare
Cycle to Work Scheme
Flexible Working
Simply Health
Private Health Cover
Critical Illness Cover

Fulltime

Head Of Infrastructure And Ai Systems

Radix is building the most trusted data and analytics platform in multifamily. J...

Location

United States , Scottsdale

Salary:

Not provided

Radix (AZ)

Expiration Date

Until further notice

Requirements

Brings 10 or more years of experience in platform, infrastructure, or systems engineering, with deep exposure to operating complex production systems rather than only building them
Demonstrates deep expertise in AWS core services, along with hands on experience in Azure, including identity federation and cross cloud integration patterns
Possesses production level experience with Kubernetes and strong proficiency in Databricks, including cluster management, scaling, security, Spark tuning, and data governance
Treats infrastructure as code as a default practice, with Terraform preferred, and builds robust observability systems across metrics, tracing, and logging with a proactive mindset
Thinks in systems, maintaining a full stack perspective from DNS through application layers to agent behavior, while identifying risks and anti patterns early
Operates with a strong Day 2 mindset, embedding reliability, operational readiness, and security as core design principles from the outset
Has real world experience integrating AI and LLM systems into production environments, with a deep understanding of agent safety, trust boundaries, observability, and failure modes
Is motivated by the challenge of enabling reliable collaboration between human engineers and AI agents, while staying current on the evolving AI infrastructure landscape
Exhibits curiosity, resilience, and adaptability when navigating ambiguity and working within fast moving, evolving systems
Thrives in high growth startup environments with strong ownership, operating with autonomy and transparency while leading through hands on execution

Job Responsibility

Architect and build the Agent Harness, the system of controls, context, and guardrails that govern how AI agents are deployed, monitored, constrained, and evolved across the platform
Define and enforce operational contracts between human engineers and AI agents, including access boundaries, audit trails, rollback mechanisms, and trust boundaries
Translate desired agent outcomes into concrete infrastructure requirements, including defining what context agents require, what systems they can interact with, and how failures are handled
Own the reliability and observability of agent driven workflows end to end, from initial invocation through downstream system impact
Evaluate, select, and integrate LLM tooling, agent orchestration frameworks, and emerging AI native infrastructure primitives as the ecosystem evolves
Own and operate all cloud infrastructure across AWS as primary and Azure, including compute, networking, storage, security posture, and cross cloud integration patterns
Architect, operate, and continuously improve Kubernetes clusters at production scale, including workload isolation, autoscaling strategies, cost optimization, and multi environment lifecycle management
Own and evolve the Databricks environment, including cluster configuration, job orchestration, access controls, and data governance, while defining clear infrastructure contracts between data engineering and the broader platform
Drive infrastructure as code practices with Terraform preferred and with a strong emphasis on repeatability, auditability, and operational simplicity
Ensure infrastructure is appropriately sized and cost efficient, intentionally architected for current team needs rather than speculative future scale

What we offer

Medical, dental and vision coverage designed to support your wellbeing
Uncapped Paid Time Off
Pre-IPO Equity
Performance Bonus
Learn From the Best
Build Category-Defining Products

Fulltime

Head of Data Science - Generative AI

We are seeking an inspirational and strategic Head of Data Science to lead our G...

Location

Spain , Barcelona

Salary:

Not provided

N26

Expiration Date

Until further notice

Requirements

An advanced degree (Master's or PhD) in a quantitative discipline such as Computer Science, Data Science, or Mathematics/Statistics is highly preferred
Significant professional experience (8+ years) in the development, production, and scaling of ML/AI solutions
Proven leadership experience (5+ years) managing, mentoring, and scaling Data Science or AI/ML teams
Exceptional strategic thinking and a track record of defining and executing ambitious technical roadmaps
Mastery of common machine learning algorithms, deep learning principles, and generative AI architectures
Strong programming proficiency in Python and experience with generative AI frameworks, such as LangChain and LangGraph
Demonstrated ability to drive a team to write production-ready, high-quality code
Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and executive leadership
Proven ability to continuously learn, challenge the status quo, and drive proactive applied research around the latest advances in generative AI and machine learning
English full professional proficiency

Job Responsibility

Architect and drive the end-to-end AI transformation across N26
Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function
Lead, mentor, and grow a diverse team of experienced AI experts
Provide strategic and architectural guidance on the delivery of robust and compliant generative AI solutions
Oversee cutting-edge AI projects end-to-end, driving best practices from applied research to scalable production deployment
Partner closely with Product Managers, Backend Engineering, Compliance, and Executive Leadership

What we offer

Accelerate your career growth by joining one of Europe's most talked about disruptors
Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation
Premium subscription on your personal N26 bank account
Subscriptions for friends and family members
Additional day of annual leave for each year of service
A high degree of autonomy and access to cutting edge technologies
A relocation package with visa support for those who need it

Fulltime

Global Head of Workplace Strategy and Data

The Workplace Insights and Strategy Leader will be responsible for leveraging in...

Location

United States , Menlo Park

Salary:

173000.00 - 242000.00 USD / Year

Select Country

Head of Data and AI Products

Job Description

Job Responsibility

Requirements

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