Associate Data Governance Business Analyst

Summary

Capgemini is a global business and technology transformation partner helping organizations accelerate digital and sustainable transformation through AI, cloud, data, and other technology services. The Associate Data Governance Business Analyst supports client engagements involving data governance, master data management, data quality, data privacy, and responsible AI by analyzing information, developing deliverables, conducting research, and collaborating with business and technology stakeholders.

Responsibilities

• Support the delivery of client engagements related to data governance, data quality, master data management (MDM), and data privacy frameworks
• Assist in gathering, organizing, and analyzing client data and process information to identify gaps, risks, and improvement opportunities
• Support MDM-related activities such as data standardization, deduplication, hierarchy management, and stewardship process design
• Contribute to the creation of client deliverables, including reports, presentations, process maps, data models, and governance documentation
• Participate in client workshops and interviews, capturing requirements and synthesizing findings under the guidance of senior team members
• Conduct research on industry trends, regulatory developments, and emerging practices in data trust, master data management, and responsible AI
• Support project management activities such as tracking action items, timelines, and deliverable status
• Collaborate with cross-functional teams (technology, risk, compliance, and business stakeholders) to ensure alignment on project objectives
• Continuously build technical and functional knowledge of data trust tools, frameworks, and methodologies
• Take ownership of assigned tasks, seeking feedback proactively and applying it to improve future work

Skills

• Strong analytical and problem-solving abilities; comfortable breaking down complex problems into structured components
• Excellent written and verbal communication skills, with the ability to present ideas clearly to both technical and non-technical audiences
• Ability to synthesize information from multiple sources into clear, concise deliverables
• Strong attention to detail and commitment to quality in all work products
• Basic understanding of responsible AI principles (fairness, transparency, accountability) and how trustworthy data underpins trustworthy AI
• Ability to critically evaluate AI-generated outputs and apply sound professional judgment rather than accepting results at face value
• Prior internship, co-op, or project experience in consulting, technology, or data-related roles
• Proactive approach to learning new tools, frameworks, and industry knowledge with minimal supervision
• Comfort operating in ambiguity and adapting quickly as project needs evolve
• Track record of seeking feedback and using it to grow (academic, internship, or work experience)
• Growth mindset — willingness to take on stretch assignments and expand scope of responsibility over time
• Bachelor's degree in a relevant field (e.g., Business, Data Science, Computer Science, Information Systems, Public Policy, or related discipline)
• MDM platforms (e.g., Informatica MDM, Reltio, STIBO, Ataccama) or data visualization/analytics tools (e.g., Power BI, Tableau, SQL, Python)

Qualifications

Must Haves

• Strong analytical and problem-solving abilities; comfortable breaking down complex problems into structured components
• Excellent written and verbal communication skills, with the ability to present ideas clearly to both technical and non-technical audiences
• Ability to synthesize information from multiple sources into clear, concise deliverables
• Strong attention to detail and commitment to quality in all work products
• Basic understanding of responsible AI principles (fairness, transparency, accountability) and how trustworthy data underpins trustworthy AI
• Ability to critically evaluate AI-generated outputs and apply sound professional judgment rather than accepting results at face value
• Prior internship, co-op, or project experience in consulting, technology, or data-related roles
• Proactive approach to learning new tools, frameworks, and industry knowledge with minimal supervision
• Comfort operating in ambiguity and adapting quickly as project needs evolve
• Track record of seeking feedback and using it to grow (academic, internship, or work experience)
• Growth mindset — willingness to take on stretch assignments and expand scope of responsibility over time
• Bachelor's degree in a relevant field (e.g., Business, Data Science, Computer Science, Information Systems, Public Policy, or related discipline)

Nice to Haves

• MDM platforms (e.g., Informatica MDM, Reltio, STIBO, Ataccama) or data visualization/analytics tools (e.g., Power BI, Tableau, SQL, Python)

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.