Data Quality Enablement Senior Manager

Boston Consulting Group
London
1 year ago
Applications closed

Related Jobs

View all jobs

Manufacturing Data Scientist

Manufacturing Data Scientist

Machine Learning Engineer

Machine Learning Engineer

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

Data Scientist

The Data Quality Enablement Senior Manager plays a critical role ensuring that the data used within the organization is accurate, complete, and reliable by promoting and facilitating high standards of data quality. We are seeking a Data Quality Enablement Senior Manager with a visionary outlook towards integrating Data Governance and Quality at the core of our largest business transformation programs in corporate functions and Generative AI endeavours. In this key position, you will spearhead the integration of robust data management practices across our business functions and with our pioneering AI projects, ensuring that our advancements are built upon a solid foundation of data integrity. Your role will be crucial in embedding Data Quality and Governance as the backbone of our transformational initiatives in Finance, HR, Knowledge, Procurement & Marketing, elevating our Data and Analytics products to new heights of excellence, reliability, and impact. We are looking for candidates deeply passionate about Data Quality, and outstanding leadership, strategy and technical skills, and the ability to communicate effectively across multiple levels of the organization, to lead the way in marrying process excellence, advocacy, and disrupting AI technology to help BCG attain the highest level of Data Maturity. You have a consultative approach conducting thorough reviews of current data management practices and systems to identify anomalies and/or areas of improvement for data quality Designing and implementing comprehensive data quality management strategies that align with organizational goals Identifying areas for data quality improvement and collaborate with data stewards, Business analysts and IT teams to improve data quality processes Implement data quality monitoring systems to continuously measure data quality and report on improvements or degradation over time Work closely with senior business stakeholders to understand their data needs and challenges, ensuring data quality initiatives meet business requirements Act as an advisor and thoughtful partner to Business and technical stakeholders, providing training and guidance to business users on data quality best practices, tools, and processes to foster a culture of data accuracy and integrity Supporting broader data governance initiatives by ensuring data quality issues are addressed and integrated into data governance frameworks Explore the new challenges and opportunities for Data Quality & Data Governance to help accelerate BCG’s vision to adopt and scale new GenAI based solutions Bachelor’s or Master’s degree in Information Technology, Computer Science, Data Science, or related field 5 years' proven experience working within Data Governance in a global organization, managing large scale data quality initiatives; leadership experience preferred Knowledge of data quality tools, databases, data warehousing, and data analysis techniques. Familiarity with SQL and data visualization Strong analytical and problem-solving skills to identify data quality issues and develop effective solutions Strong customer and business focus with demonstrated ability to form effective working relationships and resolve conflicts Curiosity and eagerness to explore the new frontiers and opportunities for Data Governance & Quality in the GenAI space, both as enabler and beneficiary (Data for GenAI & GenAI for Data) Excellent communication and interpersonal skills to work with various stakeholders and promote data quality best practices across the organization Strong project management skills, with the ability to lead projects from inception to completion

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.