ResponsibilitiesEnsure client‑facing platform solutions, audience outputs, reporting workflows, and underlying data processes are accurate, scalable, and operationally soundServe as a key bridge between Client Services, Product, Reporting, Data Engineering, and platform operations to ensure platform capabilities are effectively applied to meet client business needsOversee the validation and alignment of platform audiences, transaction data, reporting outputs, and campaign performance metrics across systemsInvestigate data discrepancies, identify operational risks, establish automated QA and monitoring processes, and help drive scalable workflows that improve confidence in client‑facing outputsOwn and oversee client‑specific platform execution requirements to ensure platform capabilities are configured, monitored, and leveraged appropriately for business goalsPartner with Client Services, Product, and Sales teams to translate client needs into scalable platform workflows and operational processesSupport audience strategy execution through validation of audience logic, analysis & development of segmentation strategies, and data enrichment methodologiesApply data engineering concepts and analysis to help operationalize new datasets, overlays, enrichment strategies, and targeting enhancements within platform workflowsValidate and reconcile audience counts, transaction counts, reporting outputs, and platform‑generated metrics against campaign reporting, matchback reporting, ROI analysis, and transaction‑derived performance metricsBuild and maintain scalable QA, monitoring, and anomaly detection processesLeverage coding languages and AI‑based productivity tools to accelerate data validation and automate checks for missing files, ingestion failures, or logic mismatchesCreate repeatable documentation, workflows, and escalation paths to improve consistency and reduce operational riskPartner with Product and Engineering teams to communicate platform gaps, workflow inefficiencies, and enhancement opportunities uncovered through client usageCommunicate complex data, code, and platform issues clearly to both technical and non‑technical stakeholdersRequirements4+ years of experience in Client Services, Marketing Operations, Data Operations, Platform Operations, Solutions Management, Analytics, or related fieldsBachelor's degree in computer science, Engineering, Information Systems, or a bachelor's degree in business, or business‑related field, with demonstrated technical experienceAn MBA or technical graduate degree is a plusStrong Technical Aptitude: Hands‑on experience with data engineering and analysis principles, including proficiency in coding languages such as SQL and Python for data manipulation and validationAI Tool Fluency: Experience and working knowledge of AI‑based development and productivity tools (e.g., Cursor, Claude Code, GitHub Copilot) to build efficiencies in coding, data analysis, and workflow automationExperience working with client‑facing data platforms, marketing technology platforms, CDPs, audience platforms, or reporting environmentsExperience working with identity resolution, audience targeting, enrichment data, matchback reporting, attribution, or campaign analyticsExperience in marketing technology, advertising technology, customer data platforms, or data‑driven media environmentsExperience building operational processes, data pipelines, or scalable QA workflows in a fast‑growing organizationStrong analytical skills with the ability to investigate complex data issues across multiple systems and data sourcesStrong organizational skills to manage multiple priorities in an ambiguous environment, paired with excellent client‑friendly communication.#J-18808-Ljbffr.