Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 1992H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

7 days ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishCyber SecurityVault

Job Description

Senior Data Engineer

Orion Innovation

• 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

Job Requirements

  • 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

  • Candidate Privacy Policy
  • Equal Opportunity Employment

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