Insurance Data Governance and Compliance Strategy Course

Course Introduction

The Insurance Data Governance and Compliance Strategy Course offers an in-depth, practice-oriented exploration of how insurers can build secure, compliant, and high-integrity data ecosystems in an increasingly regulated industry. As insurance organizations scale digital capabilities and adopt advanced analytics, the need for strong governance frameworks that ensure data accuracy, ethical use, and regulatory compliance becomes essential for operational resilience and competitive advantage.
This course examines the foundations of data governance through the lens of insurance-specific requirements, including underwriting data quality, policyholder information protection, claims data lifecycle management, and cross-departmental data integration. Participants learn how to establish enterprise-wide data ownership structures, implement standardized controls, and reduce data-related risks that threaten profitability, regulatory standing, and corporate reputation.
Participants gain insights into global insurance regulations and compliance regimes governing data privacy, reporting, solvency, cyber security, and customer transparency. Through practical frameworks, the course clarifies how insurers can adapt to dynamic regulatory expectations, strengthen audit readiness, and embed compliance culture into both strategic and operational decision-making. This ensures alignment between data practices, legal obligations, and ethical industry standards.
A major emphasis is placed on building governance solutions that support digital transformation, insurtech innovation, and advanced analytics adoption—including AI-driven underwriting, automated claims systems, and real-time risk modelling. Participants explore how strong data governance enhances model accuracy, improves customer outcomes, and safeguards against algorithmic bias, data breaches, and misuse of predictive insights.
The course also addresses emerging risks such as cloud adoption, third-party data sharing, cross-border transfers, and expanded cyber-threat surfaces resulting from digital connectivity. By studying real-world insurance failures and regulatory penalties, participants gain a nuanced understanding of vulnerabilities and learn practical methods to strengthen controls, enhance monitoring, and build governance maturity that scales with business complexity.
By the end of the program, participants will have the frameworks, tools, and strategic insight needed to transform their organizations into data-driven, compliant, and resilient insurers. The course equips professionals to design governance architectures, lead compliance initiatives, and promote data-driven innovation that upholds trust, improves operational efficiency, and ensures sustainable long-term performance in a digitally evolving insurance landscape.

Duration

5 days

Who Should Attend

• Insurance data-governance professionals
• Compliance, risk, and regulatory-affairs officers
• Insurance IT and data-management teams
• Underwriting and product-development leaders
• Claims operations and quality-assurance managers
• Insurance analytics, AI, and modelling specialists
• Data privacy and cyber-security professionals
• Enterprise architecture and digital-transformation leaders
• Internal auditors and governance-risk consultants
• Insurance executives responsible for regulatory oversight
• Professionals transitioning into data governance roles

Course Objectives

• Equip participants with the knowledge to design enterprise-wide insurance data-governance structures that ensure quality, accuracy, accessibility, and controlled usage of operational and analytical data.
• Strengthen understanding of global insurance regulatory expectations, enabling professionals to align data practices with privacy laws, solvency standards, reporting obligations, and consumer-protection requirements.
• Provide the skills needed to identify, assess, and mitigate data-related risks, including cyber threats, unauthorized access, model bias, and data-quality gaps that undermine decision-making and compliance.
• Develop participants’ capabilities to implement effective data-lifecycle management—from acquisition and validation to storage, usage, retention, and secure disposal aligned with insurance industry controls.
• Teach practical methods for embedding data-quality frameworks that reduce operational errors, enhance underwriting precision, improve claims-processing accuracy, and strengthen regulatory audit outcomes.
• Enhance participants’ ability to manage technology-enabled compliance risks arising from AI-driven underwriting, automated claims systems, cloud migration, and third-party data integrations.
• Enable professionals to design sustainable compliance programs supported by monitoring systems, reporting dashboards, audit trails, and governance processes aligned with evolving insurance regulations.
• Strengthen expertise in data-privacy protection through customer-centric policies, consent management, transparency practices, and safeguards that prevent breaches or misuse of personal information.
• Provide frameworks for cross-functional collaboration, allowing governance, IT, analytics, product, and compliance teams to operate cohesively within a unified governance model.
• Empower participants to lead data-driven transformation initiatives that enhance trust, operational excellence, regulatory alignment, and long-term strategic value for insurers.

Course Outline

Module 1: Foundations of Insurance Data Governance

• Understanding the role of data governance in risk, underwriting, and claims operations
• Establishing enterprise-wide governance frameworks tailored to insurance ecosystems
• Defining data ownership, stewardship, and accountability across insurance functions
• Designing governance structures that support both compliance and business agility

Module 2: Regulatory and Compliance Landscape

• Reviewing global insurance regulations affecting data usage, reporting, and privacy
• Understanding solvency, conduct, and prudential requirements linked to data practices
• Implementing controls that ensure ongoing compliance with dynamic regulatory changes
• Preparing for audits through effective documentation, monitoring, and review systems

Module 3: Data Quality, Accuracy, and Standardization

• Implementing robust insurance data-quality standards and validation processes
• Managing inconsistencies in underwriting, claims, and policy-administration data
• Designing quality-assurance workflows that enhance operational reliability
• Monitoring data quality through metrics, dashboards, and continuous-improvement cycles

Module 4: Data Privacy and Customer Information Protection

• Implementing privacy-by-design principles across insurance systems and processes
• Strengthening customer-data protection against breaches, misuse, and unauthorized access
• Designing consent and data-transparency protocols aligned with privacy regulations
• Managing sensitive personal data throughout its lifecycle in insurance operations

Module 5: Cybersecurity and Technology Risk

• Assessing cyber-threat landscapes impacting insurers and policyholder data
• Designing cyber-resilience controls that protect critical insurance information systems
• Managing third-party, vendor, and cloud-security risks within digital insurance ecosystems
• Responding to incidents through structured breach-management and recovery plans

Module 6: Data Lifecycle and Information Management

• Creating structured data-lifecycle policies for insurance data handling and retention
• Implementing secure storage, encryption, and accessibility protocols for core data
• Designing structured metadata and classification frameworks for insurance datasets
• Managing end-of-life data securely through compliant disposal and archiving practices

Module 7: Governance for Analytics, AI, and Automation

• Ensuring responsible use of AI, predictive modelling, and automated decision-making
• Managing algorithmic risks including bias, fairness, auditability, and explainability
• Strengthening monitoring controls for machine-learning models used in underwriting
• Evaluating the governance implications of real-time claims and risk-assessment automation

Module 8: Digital Transformation and Insurtech

• Understanding digital innovation trends shaping data governance in insurance
• Managing risks introduced by digital platforms, APIs, telematics, and IoT ecosystems
• Integrating insurtech solutions while maintaining governance and regulatory alignment
• Applying governance frameworks to emerging digital data sources and technologies

Module 9: Governance Operating Models and Cross-Functional Alignment

• Designing governance operating models that integrate business, IT, compliance, and risk
• Building collaboration mechanisms for cross-departmental data-management synergy
• Developing policies and procedures that unify enterprise-level governance practices
• Establishing metrics and performance indicators to measure governance maturity

Module 10: Future Trends and Strategic Governance Maturity

• Evaluating emerging risks such as quantum computing, digital identity, and data tokenization
• Anticipating evolving regulatory expectations influenced by global digital shifts
• Designing future-ready governance strategies that scale with insurance-market innovation
• Building long-term governance maturity to support resilience and strategic differentiation

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.