CDNA_Sr Manager - Media Data Ops

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

• 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.

• Executive Stakeholder & Cross**-**Functional Leadership

• Serve as a senior leader and escalation point across MIO, brand teams, Decision Sciences, engineering, and vendors.

• Influence prioritization and investment decisions by aligning MSO capabilities with commercial and strategic needs.

• Build strong partnerships with senior stakeholders by consistently delivering trusted data and insights.

• People & Org Leadership

• Lead, develop, and scale BI Managers, Data Engineering Managers, and their teams.

• Set clear expectations for ownership, quality, and leadership behaviors across the org.

• Build a high-performance culture focused on accountability, continuous improvement, and business impact.

Thrive | What you can expect

As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.

Basic Qualifications

• Master's /Bachelor's degree or PhD in Data Engineering, Information Systems, or a related quantitative field.

• 12 - 15 years of experience in media analytics, digital data ops, or MarTech roles, with at least 3+ years of people management.

• Deep understanding of digital media ecosystems and hands-on experience with campaign data flows from ad platforms to dashboards.

• Demonstrated success designing and scaling data platforms on AWS, Databricks, or equivalent cloud infrastructure.

• Strong delivery leadership skills and comfort managing stakeholders across marketing, engineering, and external vendors.

Preferred Qualifications

• Background in the pharma industry or other regulated domains with compliance requirements for media data.

• Experience managing vendor ecosystems, campaign data pipelines, and reporting operations across multiple brands or markets.

• Familiarity with campaign activation tools (e.g., Salesforce plugins, Datorama, SFMC) and taxonomy/tagging standards.

• Strategic mindset with the ability to lead capability building while maintaining operational stability.

• Strong written and verbal communication skills; experience presenting data strategy to executive audiences.

.