Graduate Program participant supporting Australia's Defence Industry through hands - on projects and professional development initiatives.
About the role
- Strategic Analytics Lead identifying legal and compliance risks for Vanguard's Office of the General Counsel. Driving analytics and oversight across new platform deployments.
Responsibilities
- Partner with OGC leadership, program teams, and technology partners to understand evolving risks and data needs as new platforms are deployed.
- Provide thought leadership on how analytics can improve legal, regulatory, and control oversight across the transformation.
- Shape the analytical strategy for monitoring platform ecosystem changes, including risk indicators, control gaps, policy alignment, and data integrity.
- Serve as OGC’s analytics liaison to enterprise data and technology teams, ensuring that data quality, lineage, accessibility, and governance meet legal and control requirements.
- Proactively identify emerging legal, regulatory, operational, and entitlement‑related risks driven by new architectures, data flows, integrations, and control structures.
- Translate complex legal and control requirements into measurable metrics, dashboards, and insights for senior decision‑makers.
- Analyze platform ecosystem data to surface trends, issue patterns, risk hotspots, and areas requiring escalation or remediation.
- Design and maintain dashboards, scorecards, and reporting tools that track OGC‑aligned risk and governance metrics.
- Develop analytical tools and automated solutions to support early detection of legal, compliance, and control risks.
- Enhance reporting mechanisms using automation, scalable design, and advanced analytics.
- Operate with independence, setting analytical priorities and driving execution across teams.
- Influence outcomes and align stakeholders without formal authority.
- Communicate complex analytical concepts clearly to leadership, technology partners, and senior stakeholders.
- Promote consistency and rigor in evaluating legal and control impacts of new platform capabilities.
Requirements
- Bachelor’s degree required; advanced degree in data analytics, statistics, information systems, or related field preferred.
- 8–12+ years of analytics experience in risk, controls, compliance, legal/regulatory functions, or enterprise transformation.
- Strong understanding of legal/regulatory risk domains, technology controls, data governance, and enterprise issue management.
- Proven ability to translate qualitative legal/control expectations into quantitative metrics and actionable insights.
- Proficiency with analytics and visualization tools such as Power BI, Tableau, SQL, AWS, and Python.
- Exceptional analytical, problem‑solving, and critical‑thinking skills with the ability to identify emerging risks.
- Strong communication skills, with the ability to simplify complex topics for non‑technical audiences.
- Highly self‑directed and comfortable navigating ambiguity and leading work across diverse teams.
Benefits
- Health insurance
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Science Intern leveraging skills in statistics and programming for data - driven projects at Revolve. Collaborating with marketing and operations for insightful analytics and strategy recommendations.
Senior AI & Data Scientist leading advanced analytical model development for tech company. Ensuring robust data architecture and deploying AI solutions from analysis to production.
Senior Data Scientist responsible for enhancing mapping and routing solutions at Vay. Utilizing data science and machine learning to improve navigation in urban mobility systems.
Data Scientist transforming complex data into valuable insights for adp MERKUR GmbH. Develops machine - learning models and collaborates with stakeholders for data - driven decisions.
Senior Real World Data Scientist providing statistical and epidemiological expertise in nutrition and health research. Analyzing large scale observational data and guiding project teams in statistical methodologies.
Senior Data Scientist at LexisNexis Risk Solutions applying machine learning and AI for government services. Collaborating with a diverse team to solve meaningful problems.
Clinical Data Manager supporting the biospecimen and clinical data management for WVU Cancer Institute. Engaging in data collection, management, and reporting for research and quality assurance.
Data Manager coordinating AI development processes to govern and manage data for medical devices at GE HealthCare. Collaborating with AI/ML engineers and tracking compliance and readiness throughout the lifecycle.
SMAI Manager leading a talented team to develop advanced factory scheduling and automation solutions at Micron. Collaborating globally to enhance manufacturing capabilities and deliver best practices.