Data Governance and Enablement Manager

News UK
London
9 months ago
Applications closed

Related Jobs

View all jobs

Process Analytics & Automation Manager

Process Analytics & Automation Manager

Process Analytics & Automation Manager

Process Analytics & Automation Manager

Procurement Data Analyst

Procurement Data Analyst

Job Description

We are News UK Technology: using technology to innovate and lead the global conversation on the future of media and storytelling. We keep people at the heart of our business through value-driven and inclusive practices enabling our staff to grow and thrive. As such, we are proud members of Tech Talent Charter UK with 34% of our Tech roles filled by gender minorities. News UK Tech is an award-winning team, winning Team of the Year at the UK Business and Innovation Awards, 2023.

The Team: the Central Data team is a passionate team of data scientists, engineers and experts who use machine learning and data to power the digital products, marketing and advertising experience of customers across our many brands, build innovative tools for our newsrooms and govern the effective and ethical use of data. 

Our award winning initiatives include: for pioneering the adoption of GenAI tools in a measured and governed environment (AI Innovators Honour Award by DataIQ), for the creation of the personalisation capability which doubled ad revenues and increased article clicks by over 40% year on year (Best New Product or Service: Sell-side by The Wires and the Best Use of Data to Drive a Business Result by INMA Global Media Awards); and INCA, our suite of tools to power workflows and aide decision making in our newsrooms (Best technical innovation at the Drum’s online media awards).

Our team work on a modern cloud stack, including GCP and AWS, multiple Python, deep learning and cloud based tools and frameworks for machine learning, with specialisms in natural language processing, and React, GraphQL, Node, D3 for developing APIs and flexible front end product components and data visualisation.

Your Role: We are in the process of re-positioning data governance as a ‘force for good’ and a means of creating competitive advantage for our brands and group business units, and this role is key to achieve this objective. Reporting to the Head of Data Enablement, the Data Enablement manager role will contribute to the strategy and implementation of governance, to ensure that our company’s data is protected whilst enabling its effective and ethical use by the business. 

Day to day you will: 

Facilitate the shift from a risk and compliance-based function into an essential business partner which is more clearly aligned to business goals and KPIs

Communicate effectively the role of the Data Enablement team to our stakeholders and the value that data governance will bring to the business

Provide inputs for the definition of the overall Data Enablement strategy and define the approach for its execution

Establish metrics to measure progress of data improvement initiatives

Turn data governance principles, best practices, definitions, frameworks into practice and translate data governance terminology into a language that our stakeholders can relate and understand

Lead, coordinate and be the Subject Matter Expert for data management topics such as Data Quality, Information Management and Data Privacy and Protection 

Act as a key interface to the Data Protection, Cyber Security, Technology and Brands teams to ensure effective data governance practices are put in place

Define and roll out the data governance framework, including policies, guidelines, process and roles and responsibilities; brief the relevant people on their stewardship accountabilities and responsibilities, set up and facilitate the data steering groups and/or data governance forum(s) defined to drive our data enablement activities

Plan and conduct periodic internal reviews around data governance maturity status and report risks, issues, challenges and improvements to relevant stakeholders

What we’re looking for from you:

A passionate, team player who inspires business stakeholders on the merits of strong governance practices as an enabler of business growth

Significant experience implementing data governance frameworks, including organisation roles and responsibilities, policies, processes, metrics and tools to support data governance activities

Ability to tailor and adjust a data governance framework to the specific circumstances of our business

Ability to understand and to articulate the business benefits of implementing data governance

Experience working in the implementation of core data management practices, including metadata management, data quality management, master data management, information management, data privacy, protection and security

Understanding of regulatory requirements such as, DPA2018, GDPR, CCPA, TcF, PECR.

Experience working with any Data Governance tool (e.g. Collibra, Informatica, Alation or Atlan) and maintenance

If you think you have what it takes but don’t tick every requirement on the list, please do apply. We recognise that considering someone’s potential as well as their experience is a great way to hire. We want to hear from people who have a passion to learn and develop.

We are News UK: One of the leading media businesses in the UK and Ireland. Our newsbrands include The Times, The Sunday Times, The Sun, The Sun on Sunday and The TLS. Our national broadcast brands include talkSPORT, Times Radio, TalkTV and Virgin Radio UK, and we have market-leading local radio stations across Ireland. Our world-famous brands provide news, analysis, opinion and entertainment to almost 40 million people each month. Spanning print and pixel, audio and video, events and experiences, our multiplatform brands are home to a plurality of opinion, representing the diverse communities we serve. News UK is wholly owned by News Corp.

Life at News: Driven by passion, guided by principles and acting with purpose. We represent, reflect and reach the nation, telling the stories that matter. We inform our audiences so that they can make decisions based on trusted information.

To do this, we believe our employees must represent different backgrounds, perspectives and experiences. We strive to maximise and encourage every individual’s potential and ensure everyone feels valued. We support this through our Diversity, Equity and Inclusion Strategy, which focuses on three main priorities - attracting talent from a wider, more representative pool, developing equity programmes to drive better representation in our leadership, and ensuring diversity and inclusivity in our workforce as well as the journalism and content we produce. We also currently have 12 employee led networks and groups that support our strategy and connect like minded employees socially.

Benefits:

Some of our benefits include:

Maternity leave up to 18 weeks full basic salary & paternity leave up to 2 weeks

Wide range of training available, plus full LinkedIn Learning access

Private medical insurance including coverage for pre-existing conditions

Discounted gym memberships, free ClassPass at Home, weekly virtual yoga classes

‘Bikes for Work’ and ‘Electric Car’ scheme

Up to 60% discount on Harper Collins books

Access to exclusive events and competitions with exciting brands such as talkSPORT, Virgin Radio UK & The Times. Weekly virtual panel chats with top journalists and celebrities

Access to wellbeing benefits such as EAP, physio/massage and counselling

A generous pension scheme with employer contributions of up to 5%

25 days holiday, plus bank holidays and up to 4 volunteering days per year

Thriving employee networks supporting colleagues to embed and grow, including women in technology, parenting, wellbeing, GenZ, NewsIsOut and faith-oriented groups. 

We want to ensure that everyone we meet has the opportunity to perform to their best when applying for a role. Please let us know, at any stage, whether you require any reasonable adjustments during the recruitment process, and we will do our best to accommodate.

About The Candidate About The Company

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

Career Paths in Machine Learning: From Entry-Level Roles to Leadership and Beyond

Machine learning has rapidly transformed from an academic pursuit to a cornerstone of modern technology, fueling innovations in healthcare, finance, retail, cybersecurity, and virtually every industry imaginable. From predictive analytics and computer vision to deep learning models that power personalisation algorithms, machine learning (ML) is reshaping business strategies and creating new economic opportunities. As demand for ML expertise continues to outstrip supply, the UK has become a vibrant hub for machine learning research, entrepreneurship, and corporate adoption. Whether you’re just starting out or have experience in data science, software development, or adjacent fields, there has never been a better time to pursue a career in machine learning. In this article, we will explore: The growing importance of machine learning in the UK Entry-level roles that can kick-start your ML career The skills and qualifications you’ll need to succeed Mid-level and advanced positions, including leadership tracks Tips for job seekers on www.machinelearningjobs.co.uk By the end, you’ll have a clear view of how to build, grow, and lead in one of the most exciting fields in modern technology.