Crosslake Technologies

Consultant

• Lead sell-side technology diligence, including evidence review, management interviews, buyer-readiness assessment, remediation priorities, and support for buyer questions
• Lead buy-side technology diligence and assess systems estate, infrastructure, organisation, vendors, contracts, spend, scalability, resilience, and investment requirements
• Evaluate ERP, warehouse, WMS, CRM, and PSA environments and the business processes they support
• Assess end-to-end business processes using process walkthroughs, interviews, system evidence, reports, and operating metrics
• Assess data centres, colocation, networks, identity, end-user computing, backup, disaster recovery, hybrid cloud, and migrations of traditional COTS systems to IaaS or limited PaaS environments
• Assess MSP and MSSP arrangements, including scope, pricing, contracts, service levels, performance, transition risk, and governance
• Evaluate IT operating procedures including service desk, incident, problem and change management, onboarding and offboarding, access management, asset and configuration management, escalation, service levels, and reporting
• Identify and size one-time and recurring technology investments
• Translate technical and operational findings into concise, evidence-based conclusions for investors and senior non-technical stakeholders
• Develop post-close systems roadmaps and help clients select vendors, govern delivery, improve operating discipline, or fill interim leadership gaps
• Collaborate with Crosslake specialists when deeper domain expertise is required
• Contribute to Crosslake methods, benchmarks, training, and service development

Enterprise Systems Consultant

Product Manager

• Lead and contribute to product assessments for investment firms and portfolio companies across the EMEA investment lifecycle, from pre-close diligence through post-close value creation and exit preparation
• Evaluate product strategy, roadmap, and go-to-market defensibility across EMEA markets
• Assess AI and machine learning embedded in products and articulate implications for competitive advantage, risk, and value creation
• Analyse product-market fit, customer segmentation, expansion opportunity, localisation needs, and growth assumptions across EMEA
• Review product team structure, delivery capability, execution track record, and organisational readiness for growth
• Conduct executive interviews, customer discovery conversations, and expert network engagements
• Synthesise documentation, market research, customer evidence, and interviews into structured, investment-grade deliverables
• Communicate product and market dynamics to deal teams, investment committees, operating partners, and company leadership
• Advise portfolio company product leaders on strategy, prioritisation, localisation, and capability development post-close

Product Lead

Director

• Lead value creation engagements day to day, defining key questions, building workplans and managing workstreams
• Structure complex product, software and transformation challenges into hypotheses, analyses, workstreams and decision points
• Develop executive-level narratives synthesising analysis, client input and specialist perspectives into practical recommendations
• Build trusted relationships with senior stakeholders across business, product, technology and finance
• Translate between commercial and technical audiences, reflecting business priorities, product realities, architecture implications and delivery feasibility
• Link initiatives to value creation economics, including opportunity sizing, business cases, investment requirements, benefits, trade-offs and execution risks
• Challenge assumptions, pressure-test recommendations and identify where deeper specialist expertise is needed
• Drive engagements toward clear decisions, prioritised actions and a pragmatic path to execution

Associate Director, Product Software – Transformation

Data Scientist

• Lead data engagements for private equity investors and portfolio company leadership teams
• Own senior client relationships and advise CDOs, CTOs and executive teams
• Develop data strategies aligned with business priorities, value creation, capabilities, technology choices, operating models and delivery roadmaps
• Lead complex data transformations from diagnosis through implementation planning
• Address data platform modernisation, governance, quality, data products and analytics initiatives
• Structure ambiguous data challenges, define key questions, build workplans and manage workstreams
• Develop executive-level narratives, practical recommendations and clear decisions
• Translate between commercial and technical audiences while assessing architecture, feasibility and execution risk
• Link data initiatives to opportunity sizing, business cases, investments, benefits, trade-offs and dependencies
• Challenge assumptions and identify where specialist expertise is needed across data engineering, architecture, governance, analytics, AI and transformation
• Drive engagements toward prioritised actions, accountable delivery plans and execution

Head of Data Practitioner

Architect

• Support technology engagements across a range of clients
• Work with investors, portfolio company leadership teams and technology leaders to define and deliver technical architectures enabling measurable business outcomes
• Assess current-state applications, infrastructure, cloud environments, integration patterns, data platforms and technical constraints
• Define target-state technical architectures aligned with business priorities, security, scalability, resilience and delivery feasibility
• Advise clients on cloud platforms, application modernisation, infrastructure, integration, software delivery tooling, data platforms and analytics environments
• Translate business and technology requirements into architecture principles, technical designs, transition plans and delivery priorities
• Develop and communicate architecture recommendations for senior technology leaders and non-technical stakeholders
• Identify risks, dependencies, technical debt and delivery constraints, and recommend mitigation approaches
• Collaborate with client teams and Crosslake specialists across product, engineering, cloud, security, data and transformation
• Challenge assumptions and pressure-test proposed designs
• Develop prioritised roadmaps toward scalable, resilient and fit-for-purpose technology capabilities

Tech Architect

Artificial Intelligence

• Identify improvements to technology, organizations, processes, and tools used to develop software products and services
• Help private equity companies and investment firms assess technology strengths, risks, and improvement opportunities for potential investments through technical due diligence
• Design and implement solutions from scratch, including Agile methodology transformations
• Guide and mentor junior software developers and engineers
• Collaborate with internal and client technical leads and team members
• Apprentice as a consultant on the first two projects, then independently drive projects to successful completion
• Participate in and lead AI assessment efforts for investment companies
• Create investor reports outlining technical investment risks
• Participate in hands-on implementation projects and deliver strong customer outcomes
• Identify improvements to existing AI technology, organizations, processes, and tools

Enterprise Systems Consultant

Product Lead

Associate Director, Product Software – Transformation

Head of Data Practitioner

Tech Architect

AI/ML Consultant