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Live | What you will do
Set BI & Data Engineering Strategy and Direction
Define and own the integrated BI and Data Engineering strategy for MSO, ensuring alignment between data ingestion, transformation, and dashboard consumption.
Establish long‑term roadmaps for MSO’s data backbone and BI products, balancing scale, reliability, flexibility, and speed.
Act as the senior authority on data‑to‑decision enablement, ensuring outputs are not only technically correct but business‑relevant and decision‑ready.
Lead BI Delivery, Design, and Business Translation
Oversee BI delivery across MSO (e.g., ELL, Media Goals, HCP/DTC Trackers, Web and Competitive Intelligence dashboards).
Ensure mockup‑driven design practices are embedded, translating business questions into structured dashboard designs and build‑ready specifications.
Guide teams in strengthening business logic understanding, KPI interpretation, and narrative framing behind dashboards.
Lead and/or sponsor executive‑ and brand‑level dashboard readouts, ensuring insights are clearly communicated and actionable.
Own Data Engineering Excellence & Platform Reliability
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Provide senior oversight of MSO’s data engineering foundation, including ingestion (file‑based and API‑driven), transformation, DQM, and BI‑ready aggregation layers.
Establish and enforce data engineering best practices (scalable pipeline patterns, testing, observability, recovery, and documentation).
Ensure operational excellence across Databricks/S3 pipelines powering BI, web analytics, and 3rd‑party competitive datasets.
Ensure quality control and release readiness
Own operational health of MSO ingestion and processing—logging, monitoring, DQM validation, publish/stitch status tracking, and automated notifications when feeds or taxonomy inputs fail.
Own release operationalization by maintaining runbooks, validation notebooks/checklists, and production observability artifacts (ingestion logs, error traces, alert routing) so deployments are traceable, recoverable, and supportable.
Drive Agile Ops, Governance, and Predictable Delivery
Own MSO’s Agile operating model across BI and Data Engineering, ensuring clear backlogs, prioritization, sprint discipline, and dependency management.
Establish delivery governance that enables predictable releases, transparent trade‑offs, and proactive risk management.
Ensure strong KPI traceability, documentation standards, and release discipline across all BI and data assets.
