Description
About A&M:
Alvarez & Marsal (A&M) is a global consulting firm with entrepreneurial, action and results-oriented professionals. We take a hands-on approach to solving our clients problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.
For details, please visit the company website: http://www.alvarezandmarsal.com
The Team
Our DTS Team Provides Following Services To Clients
- Data & Applied Intelligence - Helping clients in harnessing the power of data and cutting-edge analytics to drive intelligent decision-making and transform businesses.
- Product and Innovation - Empowering clients to innovate, develop, and launch products that drives growth and competitive advantage.
- Technology M&A and Strategy - Assist clients to manage the technology aspects and business enablement of complex M&A, integrations and carve-outs.
- Technology Transformation - A&M helps clients create a scalable, cost-effective IT function that delivers the company's strategic vision and priorities
How You Will Contribute
Lead the design and implementation of data governance frameworks, data catalogs including data lineage and metadata managements.
▪ Experience working on tools like Collibra, Alation, Apache Atlas, Snowflake / Big Query and other cloud governance services.
▪ Should be hands-on in design and enforce data governance policies, standards and procedures.
▪ Substantial experience in MDM Strategies and workflows. Experience working with industry data models and taxonomies.
▪ Industry experience in implementing regulatory compliance with GDPR, CCPA, HIPAA and other regulations.
▪ Experience in designing Data classification, data security policies and procedures.
▪ Experience working with Data stewards and business owners on ownership policies.
▪ Design Monitoring Systems for Data Quality and Data compliance.
▪ Collaborate with cross-functional stakeholders including business, products, engineering and technical stakeholders.
▪ Mentor and guide team members on best practices in data engineering and data governance.
▪ Hands-on experience of Generative AI and Agentic AI for data engineering and governance.
Qualifications;
- 11+ years of experience in data engineering & analytics and 5+ years in data governance activities
- Bachelor's or master's in computer science, Engineering, or related field
- Ability to leverage Generative AI and Agentic AI for productivity, accuracy and operational efficiency.
- Proven project credentials in design and implementation of data governance platform.
- Strong communication, stakeholder management, and team leadership skills.
Your Journey At A&M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person's unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career. We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.
