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    Data Strategy & Governance

    Data Strategy & Governance builds the data foundation that AI use cases depend on. The work covers strategy, a governance operating model aligned to DAMA-DMBOK2, cloud data platform architecture on AWS, and metadata and catalog implementation, with particular attention to regulated industries.

    Project or retainer

    Who it is for

    • Organizations building or scaling data capabilities
    • Regulated industries that need governance evidence, not only policy documents
    • Teams whose AI use cases are blocked by data availability, quality or ownership

    What is included

    Data strategy
    Priorities, ownership and investment aligned to business and AI objectives, structured along DAMA-DMBOK2.
    Governance operating model
    Roles, stewardship, policies and decision rights for data, including the unstructured data GenAI use cases need.
    Cloud data platform architecture
    AWS-focused architecture for ingestion, storage, processing and access control.
    Metadata and data catalog
    Metadata management and catalog implementation so data can be found, understood and trusted.
    Platform build and delivery
    Implementation with a delivery team scaled as needed.

    What you get

    • A data strategy and governance model with named owners
    • A target platform architecture and implementation plan
    • A catalog and metadata practice that supports AI and regulatory needs

    Scope

    The focus is the data foundation. AI systems built on top of it are scoped as Agentic AI or GenAI on AWS work.

    Delivered by a CDMP Associate (DAMA International) with experience in data strategy and governance in regulated industries.

    Frequently asked questions

    What does LLM-ready data mean in practice?

    Data your AI use cases can use safely: known sources and owners, access rules that carry through to retrieval, quality you can measure, and metadata that explains what the data means.

    Is the work AWS-only?

    Platform architecture is AWS-focused. Strategy, governance and operating model work is platform-neutral.

    Interested in Data Strategy & Governance?

    Start a conversation about your context, or take the free 5-minute AI maturity snapshot first.