Data Security & AI Opportunity Assessment Lead

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.

Overview

The Consultant will lead a structured assessment and advisory engagement across the client's Data Protection Fleet, covering three core practice areas (Cryptography & Secrets, Data Leakage Prevention, Data Asset Protection), the Data Protection Services Policy and Architecture group, and the horizontal functions of fleet enablement, development, and engineering. The engagement will identify and catalogue AI-enabled opportunities across processes, workflows, service consumption, and engineering delivery, culminating in a target-state roadmap and executive-ready findings report.

Key Responsibilities

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

Required Qualifications

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

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