Senior Consultant - Business Analyst (AI & Data)

Posted 22 Days Ago
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Singapore, SGP
Hybrid
Senior level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Be Yourself at Work, Make a Difference, and Act with Integrity are our values at Capco.
The Role
Lead business analysis for an AI and data transformation initiative in banking. Define and improve data enablement processes, translate business and technical requirements, support reusable data products, and address data discovery, governance, quality, lineage, and risk. Coordinate business, data, AI/ML, technology, and risk stakeholders while managing scope, priorities, dependencies, timelines, and delivery blockers. Senior hires lead complex workstreams and contribute to target-state roadmaps.
Summary Generated by Built In

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.


About This Job

The Business Analyst (BA) plays a critical role in supporting a banking Data for AI programme. You will work across business, data and technology teams to assess current data practices, identify gaps and bottlenecks, and translate findings into practical requirements and improvements.

The ideal candidate combines banking/financial services experience, strong business analysis skills and hands-on data governance/data management knowledge.


What You’ll Do

  • Assess current-state data governance, ownership, stewardship, access, controls and data processes.
  • Work across AI/data use cases to understand data requirements, sources, flows, access and consumption.
  • Lead stakeholder interviews and workshops with business, data and technology teams.
  • Map processes and data flows and identify gaps, bottlenecks, manual effort and unclear accountability.
  • Translate findings into clear business/data requirements, target-state improvements and reusable governance patterns.
  • Identify recurring enterprise data issues versus use-case-specific challenges.
  • Engage and constructively challenge senior stakeholders and SMEs.

What We’re Looking For

  • Bachelor’s degree in business, Finance or related field
  • 5+ years of Business Analyst with experience in data, AI/analytics, or technology transformation.
  • Strong Business Analyst and consulting experience within banking or financial services.
  • Practical experience in data governance, data management, data strategy or data transformation.
  • Knowledge of data ownership/stewardship, metadata, data catalogue, business glossary, lineage, data quality, data access/controls and data products.
  • Strong requirements gathering, process mapping, workshop facilitation and problem-solving skills.
  • Exposure to AI/ML, GenAI or AI Data Enablement initiatives is highly desirable.
  • Ability to turn complex findings into clear gaps, implications and actionable requirements.
  • Strong stakeholder management across business, data and technology.
  • Exposure to AI, analytics, data products or modern data platforms is a plus.
  • DAMA-DMBOK / DCAM knowledge is advantageous but not essential.
  • Hong Kong or Singapore banking experience preferred.

Eligibility to Work in Singapore
Applicants must have unrestricted working rights in Singapore. Only Singapore Citizens and Singapore Permanent Residents (PRs) will be considered. Employment Pass sponsorship is not available for this role.
WHY CAPCO?
  
We are expanding our business rapidly across Singapore and Asia. You will work on engaging projects with some of the largest banking and insurance clients in the world, projects that will deliver significant transformation and change.
We Offer
You will join a company that supports and encourages an entrepreneurial outlook and independent thinking. Capco is not about organizational charts and layers – we operate with little hierarchy because we want all employees to feel that Capco is their firm. We warmly value diversity and inclusion and embrace our collective uniqueness – our culture is a strong, fresh, and invigorating difference from our competitors.
We offer highly competitive benefits, including medical and dental insurance and a work culture focused on innovation and creation of lasting value for our clients and employees.


#LI-JS1

#LI-Hybrid

Skills Required

  • Bachelor's degree in business, finance, or a related field
  • 5+ years of Business Analyst experience in data, AI/analytics, or technology transformation
  • Strong understanding of data platforms, data access, integration, and data products
  • Experience with data discovery, governance, quality, lineage, and/or data risk
  • Ability to translate complex business needs into requirements, processes, and delivery plans
  • Strong stakeholder management skills across business and technical teams
  • Experience in banking, financial services, or regulated environments
  • Exposure to AI/ML, GenAI, or AI Data Enablement initiatives
  • Unrestricted working rights in Singapore; Singapore Citizens and Permanent Residents only

What the Team is Saying

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Capco Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage is considered strong, with medical, dental, and vision commonly provided alongside mental-health resources and wellbeing programs. Multiple plan options and generally good coverage quality are highlighted.
  • Leave & Time Off Breadth — Vacation/PTO is a standout, with generous allotments and, in some cases, unlimited sick leave, plus programs intended to help employees recharge. Flexible work arrangements are also emphasized, supporting work-life balance.
  • Retirement Support — Retirement offerings include a 401(k) with company matching in the U.S., alongside life and disability insurance in many regions. These elements round out a solid financial benefits package.

Capco Insights

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The Company
HQ: London
6,000 Employees
Year Founded: 1998

What We Do

Capco, a Wipro company, is a global management and technology consultancy specializing in driving transformation in the energy and financial services industries. Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting edge ingenuity is brought to life through its award-winning Be Yourself At Work culture and diverse talent. TRUSTED ADVISORS - Our collaborative and entrepreneurial approach position us as trusted long-term partners to our clients. DEEP EXPERTISE - Clients look to us for clear guidance, proven expertise, and the support they need to set their companies up for success. DISRUPTIVE SOLUTIONS- We do not provide off -the-shelf answers to clients’ challenges. Instead, we work in close collaboration to understand the issues, and craft disruptive, bespoke solutions. ACCOUNTABILITY AND OWNERSHIP - We recognize every client has distinct needs and expectations, and we take ownership and accountability for the solutions we design, build, and deliver.

Why Work With Us

We support and encourage an inclusive culture, entrepreneurial outlook and independent thinking. Capco is not about organizational charts and rigid hierarchies – we want all employees to feel that Capco is their firm to own and run. We believe diversity powers innovation. Be Yourself At Work (#BYAW) is an integral and underlying part of our culture

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Capco Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
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