Senior Data Engineer

Orion Innovation is a premier, award-winning, global business and technology services firm. The Senior Data Engineer will lead assessments and advisory engagements focused on data protection, identifying AI-enabled opportunities and creating a roadmap for implementation.

Responsibilities:

• 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:

• 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)
• Familiarity with enterprise AI tooling landscape (Copilot Studio, GitHub Copilot, Claude Code, agent orchestration)
• Background in large-scale financial services technology or security transformation programs