Data Strategy, Governance & Ethics for AI Professionals

Develop a robust data strategy with strong governance and ethical AI practices. Learn how to manage, protect, and use data responsibly to drive trustworthy and compliant AI solutions.

data strategy, governance and ethics for ai professionals

Format

Online

Intakes

Flexible

Duration

2 Months

Location

Self Paced

Fees

£450

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Format

Campus

Intakes

3-4 June 2026

Duration

2 Days

Location

London

Fees

£1,200

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Programme Overview

This executive-level course is designed to help leaders understand, design, and govern data as a strategic asset for AI-driven organisations. It focuses on how data strategy, governance, and ethics enable successful, responsible, and scalable AI, while reducing risk and ensuring trust, compliance, and long-term value.

The course is non-technical and leadership-focused, equipping executives with the frameworks and decision-making capability required to oversee data and AI responsibly.

Benefits and Career Impact

Strong Data Strategy Capability

Understand how to align data initiatives with business and AI objectives, moving beyond purely technical delivery.

Practical Governance Knowledge

Gain clarity on data governance roles, policies, and decision rights, enabling you to operate effectively in complex organisations.

Ethical & Responsible AI Awareness

Develop the ability to identify and address bias, fairness, transparency, and accountability issues in data and AI systems.

Increased Professional Credibility

Communicate confidently with executives, risk teams, and regulators using a shared governance and ethics language.

Better Risk & Compliance Understanding

Understand privacy, security, and regulatory expectations (e.g. data protection principles) relevant to AI-enabled systems.

Career Growth & Leadership Readiness

Position yourself for senior data, AI, governance, or transformation roles.

Trusted and Reliable AI Systems

Improve data quality, integrity, and governance—leading to more accurate, explainable, and trustworthy AI outcomes.

Reduced Risk & Regulatory Exposure

Minimise legal, ethical, and reputational risks through strong data governance and ethical practices.

Better Use of Data as a Strategic Asset

Ensure data is managed, shared, and used effectively to support AI innovation and business performance.

Improved Cross-Functional Collaboration

Create clearer roles, responsibilities, and decision-making across data, IT, risk, and business teams.

Stronger Compliance & Audit Readiness

Establish governance structures that support audits, assurance, and regulatory scrutiny.

Sustainable & Responsible AI Adoption

Embed ethics and governance into everyday data and AI practices, supporting long-term organisational trust and value.

Learning Outcomes

  • Define and align a data strategy with business and AI objectives

  • Establish effective data governance frameworks

  • Understand ethical, legal, and regulatory considerations for AI and data

  • Manage data-related risk, privacy, and security

  • Build organisational trust in data and AI systems

  • Lead responsible and sustainable AI adoption

Who Should Join?

Data scientists, data analysts, and AI engineers who work with data and need to understand governance, quality, and ethical considerations.

Individuals responsible for data infrastructure, data architecture, and data management practices.

Professionals ensuring adherence to data protection regulations, policies, and ethical standards.

Individuals responsible for assessing data risks, governance frameworks, and regulatory compliance.

Managers who rely on data for decision-making and need to understand data governance and responsible AI use.

Professionals involved in data privacy, legal compliance, and ethical frameworks for AI and data usage.

Leaders driving data-driven initiatives and AI adoption within organizations.

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⟶ London School of Business

Overall Impact

The Certificate in Data Strategy, Governance & Ethics for AI Professionals empowers individuals to lead with confidence while strengthening organisational performance, resilience, and long-term success.

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Programme Structure

• Why data underpins AI success

• From data collection to value creation

• Data strategy vs IT strategy

• Executive accountability for data

• Aligning data strategy with business goals

• Identifying critical data domains

• Data maturity models

• Short-term value vs long-term capability

• What data governance is (and is not)

• Roles and responsibilities (owners, stewards, custodians)

• Policies, standards, and controls

• Decision rights and escalation

• Data quality dimensions

• Master and reference data

• Data lineage and transparency

• Data lifecycle management

• Ethical principles for data and AI

• Bias, fairness, and explainability

• Transparency and accountability

• Building public and employee trust

• Data privacy principles (e.g. GDPR concepts)

• Cybersecurity and data protection

• Cross-border data considerations

• Regulatory expectations for leaders

• Governance for machine learning and generative AI

• Model risk and monitoring

• Third-party and vendor data risk

• Audit, assurance, and reporting

• Data-driven culture vs data overload

• Leadership behaviours that enable good data practices

• Skills, roles, and organisational capability

• Embedding ethics into everyday decisions

• KPIs for data and governance

• Measuring trust, quality, and compliance

• Continuous improvement and maturity assessment

• Linking data governance to business value

Certification

Participants receive a Certificate in Data Strategy, Governance & Ethics for AI Professionals from London School of Business, UK.

What Our Students Think About Us.

I choose the self-paced option because I knew topics like governance and ethics would take time. And they did. I had to revisit parts like data frameworks and compliance more than once. But that’s what helped. I have started thinking more carefully about data usage at work instead of just assuming it’s fine. Appreciate LSB, even online, the faculty guidance made things easier to follow.

051Nikau, Ireland

I work closely with data teams, but I never really understood governance properly. It always sounded like policies and paperwork. This course changed that a bit. Now I see how data strategy actually connects with business decisions and AI outcomes. I recently questioned a data source in a project, which I wouldn’t have done before. Small thing, but it mattered. Thanks to LSB.

058Moana, France

Before this course, I didn’t really think about bias or ethics in data. I just assumed if the data is there, it’s fine to use. This course made me realise it’s not that simple. I was part of a discussion recently where we actually considered fairness in a dataset, which I would have ignored before. That shift is important. Big thanks to London School of Business, very relevant content.

059 1Maia, Poland

The LSB Experience

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Expert Trainers

Passionate specialists who keep up to date with the latest trends in their field.

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Quality Delivery

Trainers have assessed annually on the quality of their delivery and delegate engagement.

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Practical Training

Theory and practical based training to take back to the office which leads you more.

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Small Class Sizes

No more than 15 people to ensure you get the most from our trainers.

Join the League of Extraordinary Leaders

As a participant in the certificate in Data Strategy, Governance & Ethics for AI Professionals, you will gain the strategic insight and leadership capabilities needed to navigate the evolving AI-driven business landscape. This programme empowers you to lead with vision, leverage artificial intelligence responsibly, and shape the future of executive leadership.

Apply Now and be the Change

Unlock your leadership potential and propel your career to new heights.
Please contact us on +44 (0)20 3305 8124 or send us an email to exed@lsbuk.com to discuss your requirements and obtain an application form.

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