Monitor existing metrics, analyze data, and partner with other internal teams (e.g., engineering, finance, Business Operations, technical operations, Business Intelligence, Product management, Partnership, legal & public policy) to identify process and system improvement opportunities.
Create compliance frameworks for use of AI technologies enabling stakeholders to understand and implement compliance requirements.
Conduct AI reviews and audits to identify risks and implement risk mitigation measures. Collaborate with stakeholders to implement risk mitigation measures and monitor risks.
Monitor AI and Data privacy regulations and advise business leaders and tech teams on emerging regulatory challenges.
Create and publish Data Privacy risk review reports for leaders detailing the risks, root causes, impacts, risk mitigation measures, action owners and risk closure timelines. Monitor all the identified risks.
Work towards improving the data privacy risk review process, improving the quality of the risk register, and identifying opportunities for automation and tools improvements.
Drive the "Data Governance Training and Awareness Program," in collaboration with LMAQ Learning & Development Team, providing data handling training and data security Do's and Don'ts to the employees.
Provide privacy-by-design and AI use guidance to business teams creating new use cases for analyzing customer data.
Maintain comprehensive, high quality & up-to-date program & policy documentation that clearly outlines risks mitigations, standards, controls & policies.
Periodically conduct internal audits & reviews on controls & processes to identify gaps & strengthen controls.
Collaborate with internal information security, fraud and abuse teams to identify & mitigate risks.
Act as single-threaded owner ensuring compliance requirements are implemented by establishing project plans, defining owners and milestones, reporting status to senior management and driving towards launch approval
Work with product management and engineering teams to prioritize scalable technology solutions to enable business growth within compliance standards.
Create clear compliance requirements for tech and product teams to translate into engineering requirements
Experience in program or project management
7+ years of data governance, data privacy, risk management, use case/tool audits and reviews
Bachelor's degree or equivalent
Experience with data privacy laws including GDPR, DPDPA, etc.
Experience owning/driving roadmap strategy and definition
Experience with risk management, information security or compliance framework management
Experience with stakeholder management including tech teams
Experience of working in an product engineering organization
Experience in influencing senior leadership through data driven insights
Software development experience, or experience of working closely with the tech, BI and DE teams
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