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Senior Data Engineer
Orion InnovationConsultant leading structured assessments and advisory engagements across Data Protection Fleet at Orion Innovation. Involvement in AI opportunities identification and cataloguing across enterprise operations.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in establishing governance structures and engagement plans for AI initiatives, with a strong focus on stakeholder management and documentation of operating models. Proficient in identifying AI use cases and implementing tracking frameworks within the financial services sector.
Highest-signal resume keywords
Senior-Level Consulting ExperienceStakeholder Management SkillsAI Initiative Tracking/Governance FrameworksData Security and Protection KnowledgeExperience with AI Tooling Landscape
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
CryptographySecrets ManagementData Loss Prevention (DLP)Data DiscoverySecurity ArchitectureOperating Model DocumentationUse-Case CataloguesRoadmap ArtifactsAI/Automation Opportunity IdentificationTechnical Feasibility Assessment
Soft Skills
LeadershipCommunicationFacilitationCollaborationProblem-Solving
Tools & Technologies
M365 CopilotGitHub CopilotClaude CodeChatGPTCopilot Studio
Industry Keywords
Cybersecurity AdvisoryFinancial ServicesData ProtectionRisk and ControlsBenefits Tracking
Tech Stack
Tools & technologiesCyber SecurityVault
About the role
Key responsibilities & impact- Establish engagement plan, governance cadence, interview schedule, and workstream structure
- Confirm in-scope verticals, stakeholder groups, and required artefacts
- Conduct stakeholder interviews and working sessions across pillars and functions
- Document current-state operating model, processes, decision points, and friction points
- Identify AI-enabled use cases across processes, workflows, and engineering delivery for each in-scope pillar
- Define opportunities for pillar-specific agents and a cross-pillar orchestration agent
- Populate and maintain the AI Initiatives Tracker (Innovation Backlog, AI Initiatives Register, Risk & Controls, Benefits Tracking)
- Map current or recommended AI tooling (e.g., M365 Copilot, GitHub Copilot, Claude Code, ChatGPT) to each use case
- Assess technical feasibility, control requirements, and data-handling implications for prioritized use cases
- Define target-state operating model, human-in-the-loop points, and governance forums
- Prioritize opportunities and build a phased implementation roadmap (near/medium/long-term)
- Prepare executive-ready findings report and leadership presentation
- Lead validation workshops and readout/knowledge-transfer sessions with client stakeholders
Requirements
What you’ll need- Senior-level consulting experience in data security, data protection, or cybersecurity advisory engagements, ideally within Tier-1 financial services
- Working knowledge across two or more of: cryptography/secrets management (e.g., HashiCorp Vault, PKI), DLP platforms, data discovery/classification and scanning tools, or security architecture and policy
- Demonstrated experience identifying and scoping AI/automation opportunities within enterprise operating models
- Strong stakeholder management skills; comfortable leading interviews, workshops, and executive readouts
- Experience producing operating-model documentation, use-case catalogues, and roadmap artifacts
- Prior experience with AI initiative tracking/governance frameworks (risk & controls, benefits tracking) (preferred)
- Familiarity with enterprise AI tooling landscape (Copilot Studio, GitHub Copilot, Claude Code, agent orchestration) (preferred)
- Background in large-scale financial services technology or security transformation programs (preferred)
Benefits
Comp & perks- Candidate Privacy Policy
- Equal Opportunity Employment