Manager, Security, AI & Data Programs

Flexential Corp.•Denver, CO

1d•$140,000 - $150,000•Hybrid

About The Position

The Manager, Security, AI & Data Programs leads 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, the role translates priorities into structured plans, tracks commitments and results, and ensures decisions and follow-through move across all three areas. The position owns operational management of the enterprise AI portfolio, including intake, prioritization, business case development, process redesign, build-versus-buy analysis, pilot coordination, 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 initiatives follow a consistent lifecycle with clear ownership and measurable outcomes. This role provides integrated visibility, operating cadence, AI portfolio operations, program coordination, executive reporting, value-realization management, adoption coordination, communications, and follow-through. It does not own Security or AI engineering, enterprise data strategy, data governance execution, architecture, or technical delivery, and it does not replace accountable governance, risk, legal, privacy, compliance, architecture, or technical owners.

Requirements

At least 5 years of progressive experience in technology program management, business operations, organizational effectiveness, portfolio management, or a related role within a complex enterprise environment.
Demonstrated success leading cross-functional programs involving technical teams, business stakeholders, executives, and external partners.
Experience with executive communications, board materials, dashboards, scorecards, reporting, and governance forums.
Experience building operating cadences, portfolio visibility, prioritization frameworks, risk and dependency tracking, and decision-management practices.
Experience supporting AI programs, digital transformation, enterprise technology portfolios, innovation initiatives, or comparable business change.
Understanding of AI adoption, governance, change management, business process redesign, build-versus-buy analysis, and value realization concepts.
Ability to evaluate business value, frame strategic tradeoffs, facilitate decisions, and influence without formal authority.
Exceptional written, verbal, visual, facilitation, relationship-building, and follow-through skills.
Ability to maintain confidentiality and work effectively with ambiguity, competing priorities, and limited oversight.

Nice To Haves

Experience supporting a CISO, CIO, Chief Data Officer, AI leader, or executive responsible for multiple technology functions.
Experience with AI use-case intake, business cases, pilots, governance, adoption, portfolio reporting, and value realization.
Familiarity with Security, Data, Analytics, Enterprise Architecture, Software Delivery, Cloud Platforms, and AI technologies.
Experience with Microsoft 365, PowerPoint, Excel, Power BI, SharePoint, Teams, ServiceNow, Azure DevOps, Planner, or comparable work-management platforms.
PMP, CSM, Prosci/CCMP, Lean Six Sigma, AIGP, or comparable program, agile, change-management, or AI governance certification.

Responsibilities

Run the operating cadence for Security, AI, and Data, 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 updates for executive leadership and governance forums.
Anticipate information, decisions, reporting, and coordination needs; drive work to closure and act as an operational delegate in selected meetings when appropriate.
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.
Create and maintain a centralized view of priorities, initiatives, milestones, owners, dependencies, risks, resource requirements, and leadership decisions across Security, AI, and Data.
Partner with functional leaders to integrate roadmaps and facilitate prioritization and sequencing based on business value, risk, strategic alignment, readiness, capacity, dependencies, and funding.
Identify cross-pillar conflicts, duplicated effort, stalled decisions, capacity constraints, and execution risks; coordinate resolution or escalate options and tradeoffs.
Establish repeatable practices for intake, prioritization, status reporting, escalation, decision records, and closure.
Own operational management of the enterprise AI portfolio from intake through value realization, aligning initiatives with strategy, business priorities, risk tolerance, and measurable outcomes.
Lead AI use-case intake, qualification, prioritization, sequencing, and business case development; evaluate opportunities for value, feasibility, adoption potential, data readiness, investment, and reusability.
Facilitate process discovery and redesign before automation and coordinate build-versus-buy evaluations, vendor assessments, platform analysis, commercial considerations, and recommendations.
Coordinate AI initiatives through concept definition, pilots, production readiness, deployment, adoption, operational transition, ownership assignment, and sustained support.
Maintain an enterprise inventory of AI use cases, pilots, agents, automations, deployments, sponsors, data dependencies, risks, investments, and realized value.
Identify duplicate, overlapping, redundant, or low-value AI initiatives and recommend consolidation, reuse, redirection, holding, or cancellation.
Establish AI success measures, adoption targets, pilot exit criteria, production readiness requirements, value targets, and business ownership expectations.
Coordinate 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, executive reporting, literacy programs, communities of practice, adoption campaigns, and stakeholder engagement.
Ensure initiatives progress through consistent governance, risk, privacy, security, architecture, deployment, adoption, and measurement practices.
Establish AI portfolio dashboards and scorecards covering strategic alignment, investment, progress, adoption, risk, and outcomes; define value measurement plans with business sponsors.
Measure actual versus planned benefits, coordinate post-implementation reviews, and use outcomes to inform planning, funding recommendations, and future prioritization.
Lead preparation and facilitation of Security, AI, and Data QBRs, consolidating functional metrics into executive scorecards and outcome-focused narratives.
Partner with domain leaders to define reporting expectations, ensure measures have accountable owners and reliable source data, and maintain a consistent, current source of truth for executive reporting.
Translate technical and operational detail into concise implications, options, and decisions for executive audiences.
Build relationships across business and technology functions; coordinate cross-pillar work, improve stakeholder experience, develop communication and change plans, and recommend improvements based on feedback.
Coordinate annual and quarterly planning inputs, including priorities, outcomes, dependencies, capacity assumptions, and resource needs.
Maintain visibility into approved investments, capital requests, hiring plans, vendor commitments, contract renewals, resource allocations, and material budget risks with functional owners and Finance.
Support business cases and investment requests and track leadership decisions affecting scope, timing, funding, staffing, or expected benefits.