Lead Data Governance Information Corporate Security

As a Lead Data Governance Information & Corporate Security you are responsible for setting the strategic direction for data analysis within the organization. This role involves collaborating design of Data Products ensuring data trust and adherence of data governance standard and the maintenance of the data catalogue. The Lead ensures that Data Products are reusable interoperable and meet organizational standards. You will directly contribute to achieving business objectives by collaborating with stakeholders to understand their data needs and leading pieces of work to simplify and scale up our data solutions and capabilities.

Accountabilities:

• Manage the data incident insights and metrics including the underlying technology automation process for Data Governance that is shared to data owners stewards and technology partners across the fund.
• Accountable for maintaining the Data Governance Standard as well as organizing roadshows for stakeholders to communicate updates and changes.
• Provide consultation to business and tech groups to advance their data products maturity and improve experience for data users.
• Support Data Governance communication contents such as reports monthly newsletters to stakeholders and maintaining the new Data Governance site with recent updates on Data Governance activities
• Offer guidance and support on best practices for Amazon services including DataZone Lake Formation and S2 to assist the Data Governance team.
• Regularly connect with business partners to build strong relationships comprehend their data challenges and collaborate with tech teams for solutions.
• Work with the vendor data team to develop standards for vendor datasets.
• Collaborate closely with crossfunctional teams and stakeholders to understand business requirements align analytical efforts with organizational goals and ensure the relevance and impact of data analysis initiatives.

Qualifications :

• Undergraduate degree or college diploma in related field.
• 6 years of relevant experience. 
• Experience working with a variety of analytical tools and visualization softwares.
• Demonstrated knowledge of the data lifecycle including experience with data modeling metadata and data quality and governance.
• Experience in analyzing manipulating transforming and interpreting datasets and building data products in a data mesh architecture
• Exposure with data modeling data architecture data engineering data analysis and data science (familiarity with ETL tools data warehousing and big data architecture and cloud constructs).
• Excellent communication and interpersonal skills with the ability to convey complex technical concepts to nontechnical stakeholders.

Additional Information :

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At CPP Investments we are committed to diversity and equitable access to employment opportunities based on ability.

We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process. 

Our Commitment to Inclusion and Diversity:

In addition to being dedicated to building a workforce that reflects diverse talent we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials accessible meeting rooms etc. please let us know and we will work with you to meet your needs.

Disclaimer:

CPP Investments does not accept resumes from employment placement agencies headhunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other website job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or website will be considered unsolicited and will not be considered.  CPP Investments will not pay any referral placement or other fee for the supply of such unsolicited resumes or information.

Remote Work :

No

Employment Type :

Fulltime