Ovative Group

Security Analyst

• Own client security questionnaires end to end and maintain a reusable answer library
• Conduct vendor security assessments and maintain vendor risk tracking
• Run SOC 2 compliance operations, including evidence collection, control monitoring, and audit support
• Maintain the risk register and prepare quarterly risk reviews
• Drive policy reviews, redline recommendations, and exception tracking
• Support review of client contractual security obligations
• Support data privacy compliance operations, including data inventory, mapping, subprocessor tracking, and data subject requests
• Operate AI tool and vendor intake, including security and risk reviews and decision documentation
• Conduct AI risk assessments using threat modeling, control analysis, and risk scenarios
• Build and maintain an inventory of approved AI tools, agents, and connectors; monitor for unapproved AI use
• Maintain AI usage policies and standards and manage exceptions
• Support access reviews for AI agents and connectors
• Deliver secure-AI training, office hours, and onboarding
• Track AI regulatory and framework developments and AI governance requirements in client questionnaires
• Manage security awareness training, content updates, completion tracking, and new-hire onboarding
• Run phishing simulations, reporting, and follow-up coaching
• Own security communications and the employee security-question intake channel
• Coordinate periodic user access reviews and validate offboarding completion
• Review third-party application and OAuth grants across M365 and Google environments
• Build security metrics and dashboards and support leadership reporting
• Produce periodic threat intelligence digests
• Depending on experience and interest, support security alert triage, incident documentation, and tabletop exercises
• Support business continuity and disaster recovery plan maintenance and test coordination

Lead Security Analyst

Product Manager

• Own the backlog for Ovative’s AI platform and client-facing product work
• Identify high-value problems, translate them into executable work, and sequence releases
• Set the roadmap, decide priorities, and communicate the reasoning to stakeholders
• Translate program objectives into user stories with acceptance criteria covering business value, technical constraints, governance, data models, MCP/tool exposure, agent behavior, and evaluation criteria
• Collaborate with AI Engineers and Data Engineers to clarify requirements and make scope, data input, tool boundary, and acceptance decisions
• Make delivery tradeoff decisions across scope, sequencing, and technical constraints
• Accept or reject completed stories against acceptance criteria, Definition of Done, agent evaluations, and human-in-the-loop requirements
• Ensure agents and tools have owners, automation tiers, access and identity models, and documented review paths
• Run team ceremonies as Scrum Lead, including standups, refinement, retrospectives, sprint planning, and demos
• Own and prioritize the AI platform backlog across operational data, MCP/tooling, retrieval, agent builds, and enablement
• Define and manage intake for AI build requests and route requests to self-service, rapid client-specific builds, or the platform roadmap
• Drive story readiness and identify problem framing, acceptance criteria, data dependencies, and security questions
• Champion MVP and iterative delivery using mirror, validate, invert patterns
• Define agent quality measures and partner on evaluation sets, regression checks, and validation
• Coordinate with AI engineering, data products, platform, IT, Security, functional leaders, and client teams
• Communicate progress and outcomes to executive sponsors and functional leadership
• Own product-facing documentation, build patterns, and reusable Confluence assets
• Lead user discovery, shadowing, and feedback loops across media, measurement, creative, and operations
• Ensure roadmap work is tied to observed user problems, named owners, and measurable outcomes
• Track adoption through usage, abandonment, and workflow change

Product Owner, AI

Financial Planning and Analysis

• Serve as the subject matter expert for national linear television across Broadcast, Cable, and Syndication
• Develop and execute media strategies and negotiation approaches aligned with client growth goals
• Identify synergies across network partners and media channels, including Broadcast, Cable, Programmatic, and CTV
• Support cross-functional marketing strategy projects with deep video media expertise
• Provide expertise on video and audio's role in delivering client goals
• Lead day-to-day negotiations, execution, and stewardship for national linear television buys
• Develop strategic media recommendations covering budget, flighting, performance KPIs, unit length splits, and partner considerations
• Provide media recommendations informed by audience, reach, frequency, and delivery goals
• Maintain relationships with national TV partners and sales representatives
• Review client business performance and adjust buy approaches
• Pull regular reporting and analyze data to inform optimizations and buy adjustments
• Manage media invoice reconciliation, including electronic invoice imports, schedule matching, discrepancy troubleshooting, makegoods, and creative traffic rotations
• Report budgets and delivery for client reporting, including post-invoice actualization
• Gather post-buys and ensure clients receive owed delivery
• Send traffic instructions and creative assets to network partners
• Develop custom analysis and insights connecting video investment to client business performance
• Translate data into actionable stories for internal teams and clients
• Contribute to client-facing communications and presentations
• Work toward program objectives and KPIs, raising concerns and proposing solutions
• Build trust and credibility with clients and internal stakeholders
• Contribute to recruiting, onboarding, and mentoring new team members
• Maintain collaborative relationships across agency teams

Manager, National Video Investment – Video & Programmatic Media

Engineer

• Translate client needs into reporting solutions
• Work with clients and internal stakeholders to understand reporting needs, gather requirements, and define use cases
• Define and communicate precise data requirements to engineering partners
• Collaborate with engineering on dataset and pipeline needs, including Dagster and Airflow orchestration
• Create and review proposals with key stakeholders to roll out reporting solutions quickly
• Bridge design and development in Tableau while upholding data visualization best practices and client standards
• Apply a UI/UX lens to visualizations and maintain a consistent, scalable approach
• Onboard new clients onto reporting platforms and EMRge MMM
• Design, develop, test, and deploy reporting and software solutions
• Take new features from beta through general availability and maintain existing solutions
• Own technical requirements, evaluation plans, test results, recommendations, and other documentation
• Follow engineering best practices for code quality, documentation, deployment, and testing
• Troubleshoot reporting and software issues independently, escalating and collaborating as needed
• Participate in an on-call rotation supporting production systems
• Leverage AI-assisted development tools while maintaining code quality and security
• Share technical expertise and guide teammates as needed
• Participate in knowledge sharing and stay current on emerging technology and engineering practices
• Explore and champion tools and technologies that improve team workflows
• Contribute to team culture and professional development

Lead Security Analyst

Product Owner, AI

Manager, National Video Investment – Video & Programmatic Media

Data Visualization Engineer, Client Delivery