Jobs at Bounteous

Leads QA strategy and testing for Adobe Experience Manager projects, including functional, automation, API, accessibility, UI/UX, integration, regression, and release testing. Manages test planning, case reviews, defect lifecycle, quality metrics, and release sign-offs while mentoring QA engineers. Validates AEM Sites, Assets, Forms, workflows, Dispatcher, integrations, and responsive experiences. Integrates automated testing into CI/CD pipelines and collaborates with developers, designers, architects, and stakeholders to improve product quality and compliance.

Leads client data strategy engagements that activate marketing use cases through measurement, modeling, data ecosystems, and martech/adtech solutions. Assesses data maturity, defines KPIs and roadmaps, coordinates cross-functional delivery, oversees data strategy teams, and communicates results to drive client investment and account expansion. Also develops practice capabilities, supports pitches and SOWs, advances team expertise, and promotes data privacy and security compliance.

Leads enterprise digital and AI transformation engagements, advising C-suite stakeholders, shaping strategies and operating models, developing roadmaps and business cases, and guiding multidisciplinary consulting teams. Drives pre-sales, business development, strategic pursuits, workshops, stakeholder alignment, and client presentations. Advances consulting methodologies and thought leadership while mentoring junior staff and supporting organizational change and technology adoption.

Owns delivery-level client relationships for enterprise data warehouse engagements, translating CIO and business stakeholder needs into prioritized use cases, requirements, dashboard standards, and remediation priorities. Partners closely with Snowflake and Power BI delivery teams, manages scope, validates report quality, identifies data and pipeline issues, and drives engagements toward measurable business outcomes.

Serve as a strategic analytics advisor to clients, designing and auditing Adobe Analytics and Customer Journey Analytics implementations. Lead measurement workshops, requirements gathering, documentation, report suite and CJA configuration, identity resolution, dashboard development, and data storytelling. Translate ambiguous business needs into actionable analytics strategies, present findings to executives, deliver training, and guide technical and non-technical stakeholders. Promote information security and data privacy practices, including GDPR and CCPA compliance.

Lead design, configuration, and implementation of Adobe Workfront and Fusion solutions. Build dashboards, reports, workflows, automation, and integration configurations. Conduct discovery with stakeholders, produce architecture documentation, provide QA, troubleshoot issues, deliver training, and provide ongoing technical support to ensure successful client adoption.

Configure and maintain Adobe Experience Platform and Real-Time CDP data pipelines, XDM schemas, datasets, identity resolution, Profile enablement, segmentation readiness, and destination activation. Validate data quality, troubleshoot ingestion and identity issues, manage sandboxes, and implement privacy, consent, governance, and access controls. Partner with architects, data engineers, consultants, analysts, data scientists, and marketing teams to support reporting, personalization, and machine learning readiness.

Plan, execute, and track marketing campaigns (email, events, webinars, social, content) to generate leads. Create content, manage post-event outreach, coordinate collateral and partner activities, report performance, optimize programs using AI tools, and ensure information security and data privacy compliance.

Lead and manage multiple digital projects and a small team of Project Managers from inception to delivery. Serve as Scrum Master, oversee scope, budget, timeline, risks, and stakeholder communication. Coach and mentor staff, enforce information security and data protection practices, partner with client services and business development, and implement process improvements to ensure on-time, on-budget delivery and high client satisfaction.

Senior client-facing leader driving AI-enabled digital transformation and change management across health systems, life sciences, and B2B. Defines operating models, governance, stakeholder engagement, and capability-building to ensure technology adoption, measurable ROI, and sustainable organizational change.

Lead enterprise SEO and AEO strategy across client accounts, optimizing for traditional and AI-driven search (LLMs, AI Overviews, zero-click). Execute technical and content audits, implement structured data and entity strategies, measure AI search visibility, automate reporting, collaborate cross-functionally, and manage deliverables in a contractor capacity.

Promote information security best practices, identify and report security risks, and evaluate how data is stored, processed, and transmitted. Ensure compliance with data privacy standards (GDPR, CCPA) and integrate data protection throughout the information lifecycle.

Design and lead end-to-end Adobe Experience Platform and Real-Time CDP architectures: data ingestion, XDM schema design, identity resolution, integrations with Adobe suite and enterprise systems, data governance, privacy compliance, performance optimization, and mentoring development teams while translating business requirements into scalable solutions.

Serve as a strategic analytics advisor designing and implementing Adobe Analytics and CJA solutions, conducting measurement workshops and audits, building dashboards, translating insights into action, training clients, and ensuring data security and privacy compliance.

Senior marketing technology leader who architects multi-platform MarTech solutions (Adobe and non-Adobe), advises clients, leads presales and delivery, and drives data-driven orchestration, lifecycle marketing, and governance across B2B and B2C programs.

Design and implement customer data solutions using Adobe Experience Platform and RTCDP. Configure XDM schemas, datasets, identities, and real-time profiles. Build ingestion pipelines, audience segmentation, and activation strategies. Ensure data quality, governance, and optimize platform performance while collaborating with marketing and technical teams.

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.