Hi M***c, I’m J***e from StrategyBrain’s recruitment team. I came across your profile and was impressed by your long-standing leadership at L***G and your expertise in business intelligence and strategy. We’re currently working with D***H on their Head of Business Intelligence and Strategy role , a position that involves shaping BI strategy, leading analytics teams, and partnering with executive leadership to drive data-driven growth. Would you be open to a brief chat to explore if this opportunity aligns with your career goals? Looking forward to your thoughts. Best regards, J***e HR Recruiter, StrategyBrain

Hi M***c, Great to hear you’re interested. Here’s a bit more about the opportunity before we chat: D***H is a dynamic 250-person firm specializing in end-to-end BI and analytics. As Head of Business Intelligence & Strategy, you would: • Define and execute a comprehensive BI strategy to drive data-driven decision-making • Lead cross-functional teams in building advanced analytics, reporting solutions and executive dashboards • Oversee BI and IT strategy projects,managing timelines, budgets and quality • Partner closely with the C-suite to align data initiatives with overall corporate goals • Mentor and grow a high-performance team, fostering innovation and continuous improvement Why it’s a great match for you: • You’ll have a direct seat at the leadership table and shape the company’s data roadmap • Full resource support,cutting-edge tools, training budget and dedicated analytics talent • Clear career growth path with attractive salary, bonus potential and stock-option opportunities • A collaborative, entrepreneurial culture where your 30-year BI track record will truly shine Would you be open to a 30-minute call to dive deeper? I’m available this week: • Wednesday (CET) between 10:00,11:00 • Thursday between 14:00,15:00 • Friday between 09:00,10:00 Please let me know which slot works best for you, or feel free to suggest an alternative. Looking forward to speaking! Best regards, J***e HR Recruiter, StrategyBrain

Hi M***c, Good question. At the moment, the BI organization at D***H is a tight-knit team of around a dozen professionals,data analysts, BI developers and data engineers,so you’d have a solid group to lead and grow. In this role, you would report directly to the CTO, while partnering closely with the CEO and other members of the executive team on strategic data initiatives. Looking forward to diving deeper on Wednesday at 10:00 CET! Best, J***e

Hi M***c, Great question. Here’s a high-level view: Current tech stack - Cloud data warehouse: Azure Synapse Analytics - ETL & data modeling: Azure Data Factory and dbt - Analytics languages: Python & SQL - BI visualization: Power BI - Source control & orchestration: Git-based pipelines First six-month initiatives 1. Audit & optimize the existing data architecture and governance framework 2. Deliver high-impact executive dashboards (sales, finance, operations) for immediate ROI 3. Implement a self-service BI portal and standardized analytics templates 4. Co-create a 12-month BI roadmap aligned with CTO/CEO strategic priorities 5. Grow and mentor the BI team,hiring key analysts or engineers to scale capacity Looking forward to diving into these topics on Wednesday at 10:00 CET. Let me know if there’s anything else you’d like to preview beforehand. Best, J***e HR Recruiter, StrategyBrain

Hi M***c, At D***e, our data governance sits with a cross-functional D***l chaired by the CTO’s office. Domain-level data stewards (in finance, sales, ops, etc.) own key policies around data quality, access controls and metadata. We’ve learned that keeping definitions consistent across teams and automating policy enforcement (versus manual checklists) are our biggest pain points,especially as new data sources come on board. For the self-service BI portal, we measure success by: • Adoption rate: weekly active users vs. total licensed users • Self-service utilization: number of reports/dashboards created by business users • Support ticket volume: a drop in request tickets indicates better self-sufficiency • User feedback: periodic surveys and an NPS score to gauge satisfaction Looking forward to unpacking these topics further on Wednesday at 10:00 CET. Let me know if anything else comes up beforehand! Best, J***e

Hi M***c, Great questions , here’s a bit more color on our governance tooling and cadence: 1. Automated policy enforcement - We leverage dbt’s built-in data tests (schema & freshness checks) as part of our CI/CD pipelines in Git. - Azure Data Factory pipelines include automated validation activities (e.g. row-count comparisons, schema drift detection) that block deployments on policy violations. - Metadata and access-control policies are codified in Azure Purview (integrated with Synapse) for continuous compliance scans. 2. Manual checks - Domain stewards run a standardized checklist for newly onboarded sources, focusing on edge cases and business-rule validation. - We also conduct quarterly data-quality workshops where stewards review exceptions, reconcile definitions and surface process improvements. 3. Governance cadence - The D***l meets monthly for full-forum alignment on definitions, policy updates and new-source onboarding. - In addition, smaller working sessions are scheduled ad-hoc whenever a major source or critical data domain is introduced. Let me know if you’d like any further detail ahead of our call on Wednesday at 10:00 CET. Looking forward to diving deeper! Best, J***e

Hi M***c, Great questions,here’s a high-level view of how we handle both scenarios: 1. Triage & SLA for blocked deployments • Automated alert: our CI/CD pipeline pushes a notification to the BI-ops Slack channel and emails the on-call engineer. • Initial assessment (30 min): engineer reviews pipeline logs, categorizes the failure (schema drift, freshness, policy violation). • Resolution plan: , Critical (e.g. production data mismatch) → rollback/hotfix within 4 hours , Major (non-critical test failure) → patch & redeploy within 8 business hours , Minor → resolve within 24,48 business hours • Stakeholder update: issue summary and resolution steps posted to Slack and our governance board channel. 2. Resolving conflicting definitions in ad-hoc sessions • Convene impacted domain stewards and data owners to review each term’s context and usage. • Leverage our central data catalog in Azure Purview as the canonical source. • Align on use cases,if necessary, create sub-domain definitions to cover edge cases. • Document the agreed definition (with versioning/metadata) and circulate for rapid sign-off. • Escalate any unresolved disputes to the monthly D***l for final decision. Happy to dive deeper when we meet Wednesday at 10:00 CET. Let me know if you’d like any prep materials beforehand! Best, J***e