Key job responsibilities:

- Be a custodian of the data usage risks when liaising with internal teams to help drive tools and process improvements that affect secure management workflows.

- Proactively identify pain points and opportunities for continual secure process simplification and improvement to create program efficiencies.

- 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.

Basic Qualifications:

- 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.

Preferred Qualifications:

- 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.