Privacy Counsel at AVEVA providing day-to-day privacy advice and managing privacy governance. Supporting data protection efforts while collaborating with various departments across the organization.
Responsibilities
Provide day-to-day privacy advice to internal stakeholders across HR, Security, Marketing, Sales, Procurement, Product
Support the Senior Privacy Counsel on complex queries, escalation items, and strategic initiatives
Assist with completion and review of DPIAs and privacy-by-design checklists
Review, draft and negotiate privacy-related terms in customer agreements (e.g. customer DPAs)
Support procurement with vendor DPAs and privacy clauses in supplier agreements
Help maintain and improve DPA templates and fallback positions aligned to AVEVA’s business
Support assessment of cross-border transfers and appropriate safeguards (e.g., SCCs, transfer risk assessments where required, onward transfer considerations)
Help maintain privacy policies, notices, playbooks and internal guidance (e.g., retention, transparency notices, ROPA support)
Support handling of data subject requests (DSARs) and related enquiries
Assist with training/awareness materials for key functions (Sales, Marketing, HR)
Support incident response processes from a privacy perspective (triage, regulatory notification assessments, customer notification considerations, record-keeping)
Track global privacy regulatory developments relevant to AVEVA
Contribute to reporting, and audit-readiness
Requirements
Qualified lawyer with at least 2–4 years PQE (or equivalent experience)
Demonstrable privacy/data protection experience (preferably in-house within the tech sector)
Knowledge of major privacy frameworks (especially UK/EU GDPR)
Ability to apply them practically in a commercial setting
Exposure to other global privacy laws would be advantageous such as US state privacy laws, APAC privacy laws
Experience reviewing/drafting DPAs and advising on controller/processor topics
Experience with privacy assessments (DPIAs), ROPA, retention, and DSARs
Interest/experience in data governance topics such as AI governance
Pragmatic and risk-based approach
Comfortable operating in a matrix environment with global stakeholders and competing priorities
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