Alexander Rosenzweig

Often your clients span the spectrum of mature internal program/project planning methodology organizations to ones that rely heavily on vendors to propose as they structure their SOWs. Contractuals help keep both sides honest and ensure transparency on deliverables and staffing plans, etc . Legal action is the last resort and no consulting firm would want to burn bridges over contractual terms

Working with your client to agree on revised implementation plan is critical to maintain trust while ensuring revised critical path milestones are retargeted or revised as required per sponsor approval. I often hear when the project goes amber or red, what is our path to green? That’s where your actions need to be clear, concise, well documented and auditable.

Failure of some kind is virtually inevitable. Agree that transparency, and managing narrative and proposing options to the client are critical. Risk mitigation is at the route of what prudent IT delivery is all about. Often it’s managing perception vs reality and how your reputation (representing your firm) is tied to SOW terms :)

Socialize use cases, integration examples of your experience in implementing data warehouse, data lake etc solutions and show examples of how prudent data governance framework underpins key industry topics like generative AI.

Big data vendors, like Snowflake and Databricks routinely organize DG community engagement events and forums. Some are virtual and don't require in person attendance, nor fee to attend.

Review the control framework supporting the current state data governance model. How many data quality issues are plaguing production support for instance? What are the self reported corrective action plans in place to address in the data governance framework? Review and engage internal audit as well.