Head of Data Science - Generative AI Job at N26 (Barcelona)

D&T Head of Data, BI & Analytics

The Head of Data Sciences, Analytics, AI, and BI is a senior strategic and opera...

Location

Salary:

Not provided

Aramex

Expiration Date

Until further notice

Requirements

Leadership Behaviors: Collaborate & break silos
Execution & Accountability
Growth mindset
Innovation

Job Responsibility

Develop and communicate a long-term vision and strategy for Data Sciences, Analytics, AI, and BI, aligned with Aramex’s business strategy and growth objectives.
Drive innovation in analytics and AI, exploring emerging technologies, algorithms and methodologies to enhance business decision-making and operational efficiency.
Proactively engage business stakeholders to understand complex requirements, desired outcomes, and strategic priorities.
Design and deliver fit-for-purpose analytics and AI solutions that optimize operations, improve customer satisfaction, and drive revenue.
Use insights from customer feedback, usage analytics, and emerging trends to identify continuous improvement opportunities.
Own end to end operations of enterprise analytics platforms, including GCP-based ecosystems (BigQuery, Dataflow, Pub/Sub, Looker) and legacy BI systems (SQL Server, Oracle BI, ETL pipelines).
Ensure platform stability, performance, security and compliance through robust ITIL-aligned processes (incident, problem, change, release management).
Define and maintain SLAs, SLOs, and operational KPIs for uptime, pipeline reliability, cost efficiency, and user satisfaction.
Lead post-project operationalization, including service acceptance, monitoring, and continuous improvement loops.
Lead and mentor a high performing team of data scientists, AI engineers, BI analysts, and data operations engineers.

Head of AI - Driving Innovation Across Product & Enterprise

At Volkswagen Group Innovation, we are pioneering the technologies that will def...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Successfully completed degree in Computer Science, Physics or Electronics with a strong academic background in Artificial Intelligence, Data Science, or a related field
Deep expertise in Artificial Intelligence, including machine learning, deep learning, and generative AI
A strong track record of leading AI teams and projects, ideally across both product development and enterprise transformation
Leadership experience in research, pre-development and development projects in the field of AI & Machine Learning
Experience in applying AI to real-world automotive or mobility products as well as enterprise systems (e.g., supply chain optimization, predictive maintenance, intelligent automation)
Experience working in international setups, collaborating across geographies and cultures
Strategic thinking, excellent communication skills in English C1 and German B2 and the ability to inspire and align diverse stakeholders

Job Responsibility

Managing and inspiring a group of AI developers working across international hubs as well as fostering collaboration with top experts and diverse stakeholders, aligning teams around strategic objectives
Developing with the team intelligence features and ensuring integration of AI into real-world automotive and mobility products
Bridging research and implementation by identifying promising AI technologies and ensuring their scalable deployment as well as engaging with internal and external partners to drive AI transformation
Product AI Leadership: Driving intelligent features in areas such as Autonomous Driving, Smart Cabin Experiences, and other next-generation mobility solutions
Enterprise AI Strategy: Leveraging AI to enhance efficiency, logistics, and production processes, unlocking new levels of operational excellence

What we offer

30 vacation days + 24.12. and 31.12. off
40-hour week
Company pension
Flexible working hours
Mobile working
Training and consulting offers
Special conditions for the purchase and leasing of vehicles
Bicycle leasing
Sabbatical program

Fulltime

Head of Data | Data Director | Ai | Data Strategy

Our client is an established MNC with more than 100 years of experience in the i...

Location

Singapore , Singapore

Salary:

Not provided

Randstad

Expiration Date

June 25, 2026

Requirements

At least 8 years of experience in Data Science
At least 5 years of experience managing a team
Engagement with senior business stakeholders
Proven track record in Data Strategy and roadmap
Exposure to Applied AI

Job Responsibility

Define and execute a long-term, enterprise-wide Data and AI strategy that directly supports corporate goals, drives competitive advantage, and secures new growth opportunities
Lead the architecture, development, and modernization of secure, scalable, and high-performance enterprise data and AI platforms (including the global data lake) and integration systems (APIs, event-driven), replacing legacy infrastructure
Drive the adoption and operationalization of cutting-edge AI/ML models, including LLMs and Generative AI, by leading high-performance data science and engineering teams
Manage the full AI project lifecycle from PoC to production
Establish robust data governance (quality, lineage, stewardship, metadata) and AI governance frameworks, ensuring strict compliance with global data privacy regulations (e.g., GDPR, PDPA) and ethical AI principles
Act as a key partner to C-level executives and cross-functional teams (Product, Engineering, Sales) to identify high-impact business problems and integrate AI solutions into core offerings

What we offer

Autonomy to make key decisions for global Data & AI strategy and roadmap
Strong support from business stakeholders to invest in Data Science and AI

Fulltime

Outside Sales Product Specialist - Data Management

At Dell Technologies, we create the extraordinary. Our Outside Sales Product Spe...

Location

United Kingdom , London

Salary:

Not provided

Dell

Expiration Date

Until further notice

Requirements

5+ years of enterprise sales experience in data management and analytics, ideally with vendors such as Databricks, Snowflake, Denodo, Informatica, Teradata, ScaleAI or similar
Strong understanding of modern data architectures (data warehouses, data lakes, lakehouse models, and vector databases for AI/RAG) at a business and value level
Familiarity with data engineering, analytics, BI, and data science workflows sufficient to sell AI based outcomes and guide customer conversations

Job Responsibility

Proactively identify and solve customer business needs by providing subject matter expertise and creating solutions using Dell’s products and services
Manage relationships with senior level technical personnel and decision makers
Demonstrate the value of a product and/or service technology to advance customer business objectives
Provide insight and thought leadership to customers concerning applicability of highly complex products and services
Act as a technical resource for the sales organization to help meet and exceed their objectives
Develop and execute account strategies aligned to customer data, analytics, and AI transformation initiatives that are focused on Dell’s AI Data Platform Data Engines
Engage senior customer stakeholders, including CIOs, CDOs, CTOs, and Heads of Data, Analytics, and AI
Lead value-based sales conversations that connect measurable business ROI based outcomes to the AI Data Platform
Position competitively and win against incumbent and next-generation data platform providers
Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and conversational AI

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

New

AI Product Owner

In this role you will be responsible for defining, prioritizing, and delivering ...

Location

United Kingdom , Birmingham

Salary:

Not provided

Social Value Portal Ltd

Expiration Date

Until further notice

Requirements

Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership
Domain Expertise: Strong understanding of the specialist area (Ops/Reg, Dist/Marketing, or Policy/Claims) and adjacent functions (pricing, risk, finance)
Detailed knowledge of business and technology issues / opportunities related to insurance, data and AI
Strong understanding of data management principles, data governance, and analytics
Experience in Agile product development and backlog management
Degree in Data Science, Computer Science, Business Analytics, or related field
advanced degree desirable
Demonstrable experience of AI product delivery / ownership within insurance or financial services
Strong understanding of AI/ML concepts, model lifecycle, and MLOps
Knowledge of ethical AI principles and regulatory frameworks

Job Responsibility

Define and communicate the vision, goals, and roadmap for AI products
Align AI initiatives with business strategy and regulatory compliance
Work with Head of AI to establish AI CoE and drive platform / product capability in collaboration with federated analytics teams in Finance, Underwriting, Actuarial and Claims
Own and prioritize the AI product backlog, balancing short-term delivery with long-term strategic goals
Translate business problems into AI use cases with clear actionable user stories and acceptance criteria
Ensure delivery practices (Agile/Scrum/Kanban), NFRs (performance, governance, resilience, privacy-by-design), and control frameworks (quality, metadata, lineage) are embedded
Drive delivery of AI products through agile ceremonies (sprint planning, reviews, retrospectives)
Monitor KPIs and value metrics to ensure AI products deliver measurable outcomes
Maintain product-level scorecards and dashboards tracking usage, quality, SLA performance, and business impact
Manage seamless AI product integration into Value streams and Change initiatives

What we offer

Attractive base compensation and discretionary performance related annual bonus
Private medical insurance coverage for both you and your dependents
Company paid life assurance and long term disability insurance
Pension with 10% employer contribution, plus a further matched contribution up to 2.5%
25 days of annual leave (prorated for 1st calendar year of employment), plus public holidays, with the ability to flex the religious bank holidays to suit your religious beliefs, subject to approval. Additional annual leave purchase is also available up to a maximum of five additional days per year
Up to 2.5 days matched paid leave for volunteering at a charity of your choice and 5 days paid leave to provide or arrange care for a dependent with a long term care need annually
Up to £550 reimbursement towards home office setup
Free in-office lunch and monthly lifestyle allowance
Monthly travel allowance or annual season ticket
The opportunity to save for, and purchase, shares of Beazley stock

Fulltime

Head of Data, Automation & AI

Knovia Group, the UK’s leading apprenticeship provider, is on a bold mission to ...

Location

United Kingdom

Salary:

90000.00 GBP / Year

Paragon Skills

Expiration Date

Until further notice

Requirements

Degree in computer science, data science, engineering, a related field or equivalent professional training/qualifications
Strong CPD record keeping abreast of latest in data architecture, governance, cloud data platforms, advanced analytics, connected systems, and development of AI agents
Proven experience in data platform strategy, AI/ML enablement, or data transformation at scale
5+ years' Senior experience in a data scientist, data engineer or developer role
3+ years' leading a function
Experience in a senior data, AI, or digital transformation leadership role
Track record of delivering enterprise-scale data infrastructure and AI/automation initiatives
Strong understanding of data architecture, governance, and cloud data platforms (e.g., Snowflake, Databricks, AWS/GCP, MS Fabric)
Deep expertise in cloud-based data architectures (e.g., AWS, Azure, or GCP), data engineering, and MLOps
Familiarity with tools like Databricks, Snowflake, MLflow, Airflow, dbt, and LLM technologies would be advantageous

Job Responsibility

Lead the development of a modern data platform (data lake, warehouse, pipelines, BI suite)
Automating and integrating end-to-end business processes using tools like Workato
Developing and deploying AI agents to enhance operational efficiency and learner/employer experiences
Enhancing our analytics capabilities to better understand and serve our customers
Shape our internal AI capability — from staff skills to leadership development

What we offer

Generous Annual Leave: 21 days, increasing with length of service, plus a holiday purchase scheme
Holiday Benefits: 3 Knovia Days for our operational December closure and 8 Public Bank Holidays
Extra Day Off: Enjoy an additional day off to celebrate your birthday
Paid Volunteering Leave: Up to 3 days of paid leave for volunteering opportunities and corporate conscience initiatives
Perkbox: Access to a wide range of lifestyle benefits and wellness tools
Recognition and Long Service Awards: Celebrating the milestones and contributions of our colleagues

Fulltime

Head of Product Data Science

As the Data Science Leader at Abridge you will be responsible for building a wor...

Location

United States , San Francisco

Salary:

275000.00 - 325000.00 USD / Year

Abridge

Expiration Date

Until further notice

Requirements

MS or PhD in quantitative field (statistics, mathematics, computer science, physics, or related)
12+ years in data-science or analytics, especially in product-facing roles where you had to drive impact by using data to shape product strategy, goal setting and execution
Depth of experience using Python, R, SQL for large-scale analytics
Comfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering and machine learning
Experience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)
Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion.
A strong leader who is able to help build great teams, drive urgency in execution while ensuring we prioritize appropriately in a rapid growth environment

Job Responsibility

Build and manage a world-class team of data scientists, providing guidance, mentorship and high standards while growing the team to 12+ over the next twelve months
Foster a high impact and collaborative team culture, focused on having agency, providing clarity of thinking to the organization and pride in authorship
Drive product strategy through data-driven insights across our growing product portfolio , including user behavior analysis, deep-dives into product performance metrics, casual inference experimentation
Partner with our product, strategy and research teams to develop sophisticated ROI frameworks for our customers, ingesting real-time data and demonstrating impact
Collaborate with our world-class research team on models and model evaluation, including shaping our model evaluation frameworks, production performance monitoring, and defining quality metrics that matter clinically
Effectively communicate our data strategy, complex analyses and key insights to cross-functional partners including the executive team
Structure the company’s data strategy, working closely with our Data Engineering team to identify gaps in data sources, ingest internal & external data, and structure that data for optimal use across the Company
Make critical technical infrastructure decisions for the data organization, including tooling choices, build vs buy tradeoffs for analytics platforms, and setting technical standards that enable the team to move fast without creating technical debt
Build the data science org of the future, incorporating the current and soon-to-come best practices in order to utilize AI to speed up data ingestion and insight generation

What we offer

Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
Paid Parental Leave: Generous paid parental leave for all full-time employees.
Family Forming Benefits: Resources and financial support to help you build your family.
401(k) Matching: Contribution matching to help invest in your future.
Personal Device Allowance: Tax free funds for personal device usage.
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.

Fulltime

Head of Machine Learning

We are seeking an experienced and visionary Head of Machine Learning to lead and...

Location

United States , Mountain View

Salary:

414000.00 - 506000.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

MS or Ph.D. degree in Computer Science, Statistics or a related technical field, and or equivalent work experience
10+ years of experience in Engineering or Scientific domains
7+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
Extensive breadth and depth of knowledge of machine learning algorithms
Industry experience building and productionizing machine learning systems
Advanced knowledge of Python, SQL
Strong oral and written communication skills

Job Responsibility

Define and own the machine learning roadmap in alignment with business goals
Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based models and systems
Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics
Collaborate with data engineers, product managers, and marketing to coordinate timely deployments from conception to release

What we offer

equity and benefits

Fulltime

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Head of Data Science - Generative AI

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