National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Director - Advanced Analytics and AI First - USA Remote

Dechra
Northwich
6 months ago
Applications closed

Related Jobs

View all jobs

Director of Operations

Director of AI

Director, Principal AI/NLP Engineer

Director, Machine Learning Science - Recommendations & Relevance

Director -Data Science and Analytics

Product Director

Vacancies

Director - Advanced Analytics and AI First - USA Remote

Job Introduction

Thanks for checking out our vacancy, we’re delighted you want to learn more about Dechra!

Dechra is a growing, global specialist within the world of veterinary pharmaceuticals. Our expertise is in the development, manufacture, marketing and sales of high quality products exclusively for veterinarians worldwide.

Here at Dechra, our values are embedded within our culture and thrive within our family of almost 2000 colleagues globally. From manufacturing to marketing, (D)edication, (E)njoyment, (C)ourage, (H)onesty, (R)elationships and (A)mbition are at the heart of our everyday operations and the way we do business

The Opportunity 

Director - Advanced Analytics and AI Firstis a senior-level position responsible for overseeing the development and implementation of sophisticated data analysis and artificial intelligence (AI) solutions within the commercial organization, leveraging advanced statistical techniques, machine learning models, and other data science tools to drive strategic decision-making and optimize business operations across various business units.

This is a USA remote role with a preference of the candidate being located in Eastern or Central Time Zone

No third-parties, please

Role Responsibility

So, what will you be doing? This role has a broad and varied scope and the successful candidate will have responsibility for duties including:

Strategic Vision: 

Define the overall data analytics and AI strategy, aligning it with business objectives and identifying key areas for AI application.

Team Leadership: 

Coordinate & lead a team of data scientists, data analysts, and machine learning engineers, providing technical guidance and mentorship.

Project Management: 

Lead the execution of complex data analytics and AI projects, including data collection, cleaning, feature engineering, model development, deployment, and monitoring.

Data Analysis: 

Conduct in-depth analysis of large datasets using advanced techniques like predictive modeling, time series analysis, clustering, and anomaly detection.

Model Development: 

Design, build, and optimize machine learning models, including supervised and unsupervised learning algorithms, to address specific business challenges.

Business Collaboration: 

Collaborate with cross-functional teams across the organization to understand business needs, translate them into data-driven solutions, and communicate insights effectively. 

Technology Evaluation: 

Stay updated on the latest advancements in AI and data analytics technologies, evaluating new tools and frameworks to enhance capabilities.

Data Governance: 

Establish and maintain data governance practices, ensuring data quality, security, and compliance with regulations.

The Ideal Candidate

Here at Dechra we pride ourselves on being an inclusive employer and we embrace candidates from all walks of life. We’re particularly excited to hear from those who have/are:

Technical Expertise: 

Strong proficiency in programming languages like Python, R, and SQL, with expertise in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).

Data Science Knowledge: 

Deep understanding of statistical methods, data mining techniques, and advanced analytics concepts.

Business Acumen: 

Ability to translate complex data insights into actionable business recommendations.

Leadership Skills: 

Proven experience leading and mentoring data science teams, managing project timelines, and fostering collaboration.

Communication Skills: 

Excellent written and verbal communication skills to effectively present technical findings to both technical and non-technical stakeholders. 

AI enthusiast:

Aware of latest and greatest in AI and experience in AI enabled modeling for commercial use cases

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.