Security, AI & Data Enablement Manager

The Security, AI & Data Enablement Manager is responsible for organizational effectiveness, integrated portfolio visibility, executive communications, performance reporting, operational planning, and cross-functional coordination across Flexential’s Security, AI, and Data organizations. Reporting directly to the executive leading these functions, this role acts as a trusted right hand and force multiplier by turning priorities into structured plans, maintaining a reliable view of commitments and results, and ensuring decisions and follow-through move across all three pillars.

The role serves as the operational owner of the enterprise AI portfolio, guiding intake, prioritization, business case development, process redesign, build-versus-buy analysis, pilot management, production transition, adoption, and value realization. It connects business sponsors with AI Engineering, Security, Data, Enterprise Architecture, Legal, Privacy, Compliance, Procurement, Finance, and vendors so approved initiatives advance through a consistent lifecycle with clear ownership and measurable outcomes. This role does not own Security engineering, AI engineering, enterprise data strategy, data governance execution, architecture, or technical delivery. It provides the connective tissue across those disciplines through disciplined operating practices, portfolio management, governance coordination, executive communications, adoption planning, value tracking, and stakeholder engagement.

Responsibilities

Organizational Operations & Executive Partnership

Run the operating cadence for the Security, AI, and Data organization, including leadership staff meetings, planning sessions, QBRs, steering committees, roadmap reviews, and action follow-up.

Prepare executive briefings, decision materials, board content, talking points, investment requests, and concise updates for executive leadership and governance forums.

Anticipate information, decisions, reporting, and coordination needed by functional leaders and the executive sponsor, and drive work to closure without waiting for detailed direction.

Act as the executive’s operational delegate in selected meetings, accurately representing priorities, commitments, and decisions while escalating matters requiring executive judgment.

Maintain an integrated calendar of strategic initiatives, governance forums, reporting cycles, funding decisions, portfolio reviews, and organizational dependencies.

Develop operating models, intake workflows, governance processes, and reporting mechanisms that create transparency and accountability across Security, AI, and Data.

Integrated Portfolio Visibility & Prioritization

Create and maintain a centralized, decision-ready view of priorities, initiatives, milestones, accountable owners, dependencies, risks, resource requirements, and leadership decisions across Security, AI, and Data.

Partner with functional leaders to translate roadmaps into an integrated portfolio view without assuming ownership of their domain strategies or technical delivery.

Facilitate prioritization and sequencing based on business value, risk reduction, EBITDA contribution, strategic alignment, readiness, capacity, dependencies, and available funding.

Identify cross-pillar conflicts, duplicated effort, stalled decisions, capacity constraints, and execution risks early; coordinate resolution or escalate with clear options and tradeoffs.

Establish lightweight, repeatable methods for intake, prioritization, status reporting, escalation, decision records, and closure.

AI Portfolio & Program Leadership

Own operational management of the enterprise AI portfolio from intake through value realization, ensuring initiatives align with enterprise strategy, business priorities, risk tolerance, and measurable outcomes.

Lead AI use-case intake, qualification, prioritization, sequencing, and business case development.

Evaluate opportunities using business value, EBITDA contribution, revenue enablement, cost avoidance, risk reduction, adoption potential, feasibility, data readiness, investment requirements, and enterprise reusability.

Facilitate process discovery and redesign before automation begins so AI is applied to optimized workflows rather than existing inefficiencies.

Coordinate build-versus-buy evaluations, vendor assessments, platform analysis, commercial considerations, and executive recommendations.

Coordinate initiatives through concept definition, pilot execution, production readiness, deployment, adoption, operational transition, ownership assignment, and sustained support.

Maintain an enterprise inventory of AI use cases, pilots, agents, automations, production deployments, business sponsors, data dependencies, risks, investments, and realized value.

Identify duplicate, overlapping, redundant, or low-value initiatives and recommend consolidation, reuse, redirection, hold, or cancellation.

Establish success measures, adoption targets, pilot exit criteria, production readiness requirements, value targets, and business ownership expectations.

Serve as the primary coordination point among business sponsors, AI Engineering, Security, Data, Enterprise Architecture, Legal, Privacy, Compliance, Procurement, Finance, and vendors.

Lead AI steering committee administration, governance forums, decision tracking, action management, and executive reporting.

Coordinate AI literacy programs, communities of practice, adoption campaigns, communications, and stakeholder engagement.

Ensure initiatives progress through consistent governance, risk, privacy, security, architecture, deployment, adoption, and measurement practices.

AI Value Realization & Portfolio Performance

Establish and maintain enterprise AI portfolio dashboards and scorecards covering strategic alignment, investment, progress, adoption, risk, and realized outcomes.

Define value measurement plans with business sponsors before pilots begin and confirm accountable ownership for baseline data and benefit validation.

Measure actual versus planned benefits, including cost avoidance, operational efficiency, revenue enablement, risk reduction, productivity improvement, customer impact, and adoption.

Coordinate post-implementation reviews and lessons learned to assess whether initiatives should scale, continue, change direction, pause, or stop.

Maintain executive reporting on portfolio performance, investment consumption, adoption trends, risks, and value realization.

Use measured outcomes to inform annual planning, quarterly portfolio decisions, funding recommendations, and future use-case prioritization.

Metrics, Reporting & QBR Leadership

Lead preparation and facilitation of Security, AI, and Data QBRs, ensuring each review focuses on outcomes, risks, decisions, investment needs, and next-quarter priorities.

Consolidate functional metrics into executive scorecards and narratives that provide a clear view of organizational performance and business value.

Partner with domain leaders to define reporting expectations and ensure measures are supported by accountable owners and reliable source data.

Translate technical and operational detail into concise implications, options, and decisions for executive audiences.

Maintain a single source of truth for executive reporting and ensure recurring reports remain consistent, current, and action-oriented.

Cross-Functional Partnership & Organizational Reputation

Build durable relationships across IT, Product, Architecture, Operations, Finance, People & Culture, Legal, Risk & Compliance, Privacy, Procurement, Sales, Marketing, and other business functions.

Serve as a responsive coordination point for work crossing Security, AI, and Data boundaries, directing issues to the appropriate functional owner and maintaining follow-through.

Improve stakeholder experience through early engagement, transparency, p