Data Product Manager

hays-gcj-v4-pd-online
Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer / Data Product Engineer

Senior Data Engineer

Data Analyst - Product

Data Engineering Manager

Applied Data Scientist

GCP Data Engineer

Your newpany

Your new role

Own the management of the data team's product roadmap and development backlogs, ensuring clarity, prioritisation, and alignment with business will establish strong relationships with stakeholders, including senior managers, data owners, business users, and IT.
Define clear features, user stories, MVP and acceptance criteria for data products.
Assess regulatory requirements and technical prerequisites and prioritise these alongside business requirements.
Lead sprint planning activities, collaborating with team members to estimate effort, review and refine estimations and maintain a well-structured data and analytics backlog.
Work with business analysts to establish and estimate data requirements for projects, enabling delivery within scope and time constraints.
Lead user acceptance testing and gather user feedback to refine and enhance data products iteratively, fostering continuous improvement.
Support the development of aprehensive business glossary epassing data definitions, business logic, and other metadata to ensure clarity and consistency across data outputs.
Ensure data productsply with relevant laws and regulations, particularly those related to data privacy and security.
Stay abreast of industry trends and emerging data management, analytics, and cloudputing technologies.
Identify opportunities for improvement and innovation to enhance the organisation's data capabili

What you'll need to succeed

- Degree level education or equivalent in a related field, or significant work-based experience with evidence of continuous professional development.

- Experience as a data product owner, project manager or similar role.
- Experience in collaborating with cross-functional teams, including developers, data analysts, and business stakeholders, to define, document, estimate and prioritise requirements.
- Experience in defining acceptance criteria, conducting user testing, and gathering feedback for iterative product improvements.
- Knowledge of data regulations and standards, including GDPR and awareness of information security risks and controls.
- Track record of successfully managing product roadmaps and backlogs.
- Experience of facilitating sprint planning including user story prioritisation and estimation, and other agile project management activities.
- Strong knowledge of data management,ernance, and analytics.
- Understanding of relational and non-relational databases, familiarity with SQL, scripting, and machine learning concepts.
- Knowledge of system integrations, cloud platforms and API protocols.
- Knowledge of regulatory andpliance requirements related to data including GDPR, with a strong awareness of information security risks and mitigations.
Role Specific
- Excellent project management and organisational skills.
- Strongmunication and interpersonal skills, engaging and influencing stakeholders at all levels andmunicatingplex information to technical and non-technical audiences.
- Ability to think strategically, pay close attention to detail, and proactively research solutions and best practices, with proven analytical, organisational, and planning skills.
-mitted to working collaboratively and building effective relationships with people of all capabilities and attitudes.
- Self-motivated with amitment to flexibility in delivery and style to meet business needs and pressures.
-mitted to own professional development and the development of colleagues.

What you'll get in return

25 days holiday rising to 30 days after qualifying service A thorough training and development plan Opportunities for progression A range of voluntary and salary sacrifice benefits Benefits portal for discounts at many retailers

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.