Senior Data Engineer

Mobilization & Current-State Assessment

• 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

Domain Coverage

• Cryptography & Secrets: key/certificate lifecycle, secrets onboarding and rotation, vault operations, privileged secrets handling, service-request fulfilment

• Data Leakage Prevention: DLP policy/ruleset engineering, alert triage and tuning, governance workflows

• Data Asset Protection: data scanning operations, permissions/entitlement analytics, DSAR workflow support, remediation coordination

• Policy & Architecture: standards authoring, architecture review support, control interpretation

• Fleet Enablement, Development & Engineering: roadmap governance, SDLC standardization, engineering standards, tooling consistency

AI Opportunity Identification & Cataloguing

• 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

Feasibility, Controls & Roadmap

• 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)

Executive Reporting & Knowledge Transfer

• Prepare executive-ready findings report and leadership presentation

• Lead validation workshops and readout/knowledge-transfer sessions with client stakeholders

• 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

Preferred Qualifications

• 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

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.