Jobs at Ovative Group

Lead design, development, testing, deployment, and maintenance of scalable full-stack software that integrates ELT/ETL pipelines and client-facing sites. Drive data engineering, automation, operational stability, SDLC and DevOps best practices. Collaborate with product and stakeholders to translate requirements, produce technical documentation, troubleshoot issues, mentor junior engineers, and influence architecture and engineering standards.

Lead architecture, implementation, QA, and validation of server-side tagging, pixels, and CAPI integrations. Partner with client engineering for requirements and UAT, monitor vendor pixel changes, document implementations, and support internal reporting/data quality and stakeholder training.

The Sr. Analyst of Influencer Marketing will develop and execute influencer strategies, manage campaigns, and analyze performance metrics to drive brand growth.

Lead performance creator strategy and execution for clients: identify creators, structure partnerships, run tests, develop measurement frameworks linking creator activity to revenue, manage client relationships, and coach team members.

The Sr. Analyst will build reporting solutions, collaborate across teams, advocate for user-centered design, and drive employee development in data management.

The Senior Account Manager will lead media strategies, manage client relationships, and develop a high-performing team to drive measurable business outcomes across major accounts.

Lead enterprise SEO strategy and execution across large sites, including technical audits, on-page and content strategy, local and off-page optimization, analytics/reporting automation, client relationship management, and people leadership to drive measurable organic performance and enterprise impact.

Lead development and deployment of advanced, interpretable marketing measurement and ML solutions (MMM, causal inference, attribution, CLV, generative AI). Mentor junior data scientists, partner with engineering and product to scale models into offerings, support business development and client engagements, and translate analytics into strategic recommendations.

Lead client engagements in marketing measurement, develop strategies, manage teams, and improve technology solutions to enhance client business value.

The Manager of Marketing Mix Modeling will oversee MMM builds and integration, ensuring quality and strategic actionability of model outputs, guiding cross-functional teams in data-informed decisions.

Lead strategy, execution, and optimization across video, audio, and programmatic display channels; manage client relationships and budgets; align channel efforts to enterprise measurement (EMR); oversee DSP bidding, trafficking, and inventory; train and develop team members; drive cross-functional integration and testing to unlock profitable, full-funnel growth.

The Data & Software Engineer will develop, test, and deploy software solutions, automate processes, and collaborate with stakeholders to enhance data performance and stability.

Lead the design, build, and ownership of production AI workflow and integration infrastructure enabling non-engineers to configure multi-step LLM-driven automations. Architect connectors, orchestration, security, CI/CD, monitoring, and bidirectional write-back while partnering with stakeholders and enforcing governance and compliance.

The Paid Search Manager will manage client relationships, lead a team, drive paid search strategies, and oversee performance media management for enterprise-level accounts.

The Engineering Manager leads a cross-functional team to develop and optimize scalable software solutions, mentor team members, and ensure adherence to engineering practices and agile methodologies while collaborating with stakeholders.

The Manager of National Video Investment leads national linear television media buying, manages relationships with media partners, negotiates buys, provides insights, and supports cross-functional marketing strategies.

The Data & Software Engineer will design, develop, and maintain scalable software and data solutions, ensuring alignment with business needs while collaborating with cross-functional teams.

The role involves leading the design and delivery of an AI Analytics Platform, focusing on building RAG systems, integrating enterprise systems, and mentoring engineers.

Build and maintain integrations and multi-step automated workflows between the enterprise AI platform and operational tools. Implement and sustain write-back logic, troubleshoot integration issues, ensure production reliability and security, support non-technical practitioners, participate in reviews, and contribute to monitoring, documentation, and training.

The role involves leading software solutions development, optimizing systems, mentoring junior engineers, and collaborating with stakeholders to meet business goals.