New opportunity

Director - Enterprise Data & AI Transformation

Capgemini Invent · Singapore

About this role

Capgemini Invent seeks a Director in Singapore to lead large-scale enterprise data and AI transformations across Southeast Asia. The role combines consulting portfolio growth, executive client leadership, transformation delivery and development of data and AI offerings.

Responsibilities

Own and grow a multi-million-dollar consulting portfolio; shape and sell strategic data and AI transformation engagements with CxOs and client sponsors.
Turn client ambitions into value propositions supported by scalable data platforms and AI-powered operating models. Build lasting executive relationships.
Architect and lead digital and data transformation programmes that connect data, AI and business reinvention. Help clients design data-driven organisations, embed AI capabilities and mobilise cross-functional teams to deliver outcomes.
Develop go-to-market strategies, campaign content and intellectual property for data strategy, AI operating models and GenAI-enabled transformation. Represent the firm at industry forums and client events.
Build and mentor diverse consulting teams and foster continuous learning and innovation.

Required profile:

A management consulting track record with 15+ years of experience in enterprise transformation, AI strategy and AI-enabled innovation, or data strategy.
Success shaping, selling and delivering USD multi-million-dollar consulting deals with demonstrated client value.
Experience engaging senior stakeholders across industries, with strong storytelling, influence and negotiation skills. Ability to work across strategy, design and delivery, simplify complexity and pursue business outcomes. Interest in applying emerging technologies, including Generative AI, data platforms and automation, to business problems.

Preferred

Familiarity with enterprise data ecosystems such as Snowflake, Databricks or Microsoft Fabric, and AI platforms; exposure to regulated industries such as financial services, healthcare or the public sector; and experience across Southeast Asian markets.

The posting describes flexible work arrangements, including remote work or flexible hours, career growth programmes and exposure to global client companies. It lists the position as permanent but does not specify working hours or a salary.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

AI strategyData strategyEnterprise transformationManagement consultingGenerative AIAI operating modelsData platformsAutomationBusiness developmentPortfolio managementExecutive stakeholder engagementNegotiationGo-to-market strategyConsulting team leadershipSnowflakeDatabricksMicrosoft Fabric

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Grow and deliver a major consulting portfolio
The Director owns and grows a multi-million-dollar portfolio across Southeast Asia and is expected to shape, sell and deliver USD multi-million-dollar engagements with clear client value.
Lead CxO relationships and shape value propositions
The role works with CxOs and sponsors to turn transformation ambitions into compelling propositions supported by scalable data platforms and AI-powered operating models, while building lasting executive relationships.
Connect transformation strategy to execution
The Director architects large-scale programmes spanning data, AI and business reinvention, guides organisational change and mobilises cross-functional teams to deliver outcomes.
Develop the market proposition
The posting calls for go-to-market strategies, campaign content and intellectual property in data strategy, AI operating models and GenAI-enabled transformation, alongside representation at industry forums and client events.
Build consulting capability
The Director builds and mentors diverse, high-performing teams and fosters continuous learning and innovation.

Likely challenges to think through

Balancing portfolio growth with delivery accountability
Likely preparation challenge, not a stated employer problem: time spent shaping new deals may compete with oversight of complex live programmes. Prepare an example of how you set commercial priorities, delegated delivery leadership and tracked client value.
Making an ambitious AI vision executable
Likely preparation challenge: a compelling CxO proposition must also survive platform, operating-model and cross-functional delivery constraints. Prepare to explain how you would sequence a transformation, make trade-offs and define business outcomes rather than lead with technology alone.
Adapting offerings across Southeast Asia
Likely preparation challenge: a reusable market proposition may need tailoring to different clients and markets. Prepare to distinguish what can be standardised from what requires client-specific design; regional experience and regulated-industry exposure are listed as bonuses, not requirements.

Practice your answers

Technical practice

How would you prioritise growth across a multi-million-dollar data and AI consulting portfolio?

What to coverThe role owns portfolio growth across Southeast Asia. Suggested preparation: explain how you would weigh client value, delivery capacity, commercial potential and fit with the portfolio when deciding where to invest.

How would you shape a data and AI transformation deal with a CxO sponsor?

What to coverThe posting calls for shaping and selling large consulting engagements with clear client value. Suggested preparation: describe how you would turn an ambition into a scoped value proposition, test its assumptions and agree on outcomes that can be evaluated.

What would guide your choice of a scalable enterprise data platform?

What to coverScalable data platforms are part of the role; familiarity with Snowflake, Databricks or Microsoft Fabric is a bonus, not a stated requirement. Suggested preparation: compare platform options against the client's data needs, integration constraints, scalability and operating model rather than assuming one product is always appropriate.

How would you design an AI operating model that embeds AI in day-to-day business?

What to coverThe role includes AI-powered operating models and embedding AI capabilities into clients' core operations. Suggested preparation: address ownership, decision rights, skills and the path from an initial use case to sustained business adoption.

How would you design a data-driven organisation alongside its technology transformation?

What to coverThe posting explicitly calls for guiding clients in designing data-driven organisations. Suggested preparation: explain how business and data teams would make decisions together, and what organisational changes would be needed to turn data into value.

How would you connect transformation strategy to delivery across multiple teams?

What to coverThe Director is expected to architect large-scale programmes and mobilise cross-functional teams for agile outcomes. Suggested preparation: outline how you would sequence work, manage dependencies and check whether delivered changes are producing the intended business outcomes.

How would you evaluate a GenAI or automation opportunity for an enterprise client?

What to coverThe posting highlights applying Generative AI and automation to business problems. Suggested preparation: compare expected value with implementation effort, reliability and adoption considerations before recommending whether to proceed.

How would you turn a data or AI transformation approach into a market offering?

What to coverThe role develops go-to-market strategies, campaign content and intellectual property for data strategy, AI operating models and GenAI-enabled transformation. Suggested preparation: explain what could be reusable across clients, what must be tailored and how you would communicate the offering's value.

How might a regulated client's context change your transformation approach?

What to coverExposure to financial services, healthcare or the public sector is listed as a bonus. Suggested preparation: discuss how you would establish the client's applicable constraints and adapt data and AI plans without assuming the same controls apply in every industry.

How would you balance a regional transformation approach with local market needs?

What to coverThe portfolio spans Southeast Asia, and regional experience is a bonus. Suggested preparation: explain what you would standardise across markets and what you would validate locally with client sponsors before committing to a delivery plan.

Behavioural practice

Tell me about a time you changed a senior sponsor's view of a complex transformation.

What to coverThe role calls for CxO engagement, storytelling and influence. Suggested preparation: use a real situation, your actions to clarify the decision and the resulting sponsor decision or business outcome.

Describe a negotiation that shaped a major consulting engagement.

What to coverThe posting emphasises selling large-scale deals and negotiating with senior stakeholders. Suggested preparation: give a real situation, explain the trade-offs you negotiated and state the result without overstating your personal contribution.

Tell me about a transformation programme that went off track and how you responded.

What to coverThe role leads complex engagements from strategy through delivery. Suggested preparation: describe a real situation, the actions you took with the relevant teams and the outcome, including what remained unresolved if applicable.

Give an example of how you developed a diverse consulting team.

What to coverBuilding and mentoring teams while fostering continuous learning is an explicit responsibility. Suggested preparation: describe the team's situation, your specific coaching or capability-building actions and the observable result.

Describe a time you developed and communicated a new client-facing proposition.

What to coverThe role includes creating offerings and representing the firm at client events or industry forums. Suggested preparation: use a real situation, explain how you shaped and communicated the proposition, and describe the response or outcome.

Sharpen your knowledge

Topics to prepare

Consulting portfolio growth and deal economics
The role owns a multi-million-dollar Southeast Asia portfolio and shapes, sells and delivers USD multi-million consulting deals. For revision, map a hypothetical deal from client need through scope, commercial case and measurable client value; identify what would make it worth pursuing.
Enterprise data strategy and AI operating models
The posting calls for value propositions supported by scalable data platforms and AI-powered operating models. For revision, sketch how a data strategy, platform capabilities and organisational responsibilities would connect to one business outcome.
End-to-end transformation leadership
The Director is expected to connect strategy, design and delivery across data, AI and business reinvention. For revision, outline the decisions and cross-functional roles needed to move a hypothetical enterprise ambition into a delivered programme.
GenAI-enabled transformation propositions
Developing offerings around data strategy, AI operating models and GenAI-enabled transformation is an explicit responsibility. For revision, compare two possible business uses of GenAI by value, dependencies and delivery implications rather than technology alone.
Regional and regulated-market context
The portfolio spans Southeast Asia; experience across its markets and exposure to regulated industries are described as bonuses. As optional preparation, compare how one transformation proposition might need to change between two markets or between a regulated and an unregulated client.

Skills to revise

CxO-level storytelling and negotiation
The posting explicitly seeks senior-stakeholder engagement, storytelling, influence and negotiation. Practise a three-minute client-sponsor pitch that states the business problem, proposed value and a key trade-off, then answer a scope or value objection.
Shaping a strategic consulting engagement
Shaping and selling large-scale data and AI deals is central to the role. Draft a one-page hypothetical engagement outline with client ambition, proposed work, delivery boundaries and evidence that would demonstrate client value.
Mobilising a transformation programme
The Director must lead complex programmes and mobilise cross-functional teams for outcomes. Practise building a phased roadmap for a hypothetical data-and-AI transformation, showing decision points, team responsibilities and outcome measures.
Creating a go-to-market proposition
The posting calls for go-to-market strategies, campaign content and intellectual property. Draft a brief proposition for one stated offering area, such as AI operating models, identifying its target client problem, distinctive approach and a suitable client-event message.
Mentoring consulting teams
Building diverse teams and fostering continuous learning are explicit responsibilities. Prepare a practical coaching scenario: diagnose a team's delivery challenge, propose a mentoring intervention and explain how you would check whether it improved the work.

Your preparation checklist

Map evidence to the Director profile
The posting calls for 15+ years in management consulting and experience across strategy, design and delivery. Prepare a concise timeline of relevant engagements, stating your role and outcomes without overstating either.
Build a commercial deal walkthrough
The role involves growing a Southeast Asian portfolio and shaping, selling and delivering USD multi-million consulting deals. Prepare one case covering the client problem, executive sponsors, negotiation, deal scope, your contribution and measurable client value; anonymise confidential details.
Prepare a transformation programme walkthrough
The posting emphasises connecting data, AI and business reinvention. Show how one programme moved from strategy to execution, including the data platform, AI operating model, cross-functional mobilisation, decisions and outcomes.
Practise an executive design exercise
As an interview exercise, outline how you would turn a CxO’s business ambition into a value proposition and phased data-and-AI transformation. Explain priorities, trade-offs, success measures and how you would communicate them simply.
Draft a proposition one-pager
The role develops go-to-market strategies, campaign content and IP. Sketch one offering in data strategy, AI operating models or GenAI-enabled transformation, identifying its buyer, business problem and proposed value. Treat Southeast Asian market experience and familiarity with named data ecosystems as bonuses, not requirements.
Select a team-leadership example
The posting calls for building and mentoring diverse consulting teams. Prepare a specific account of how you staffed a cross-functional engagement, developed people and sustained delivery and learning.
Write questions for the employer
Ask how the Director balances portfolio growth with delivery leadership, which transformation propositions are priorities, and how teams collaborate across Southeast Asian markets. These are questions to clarify the role, not stated company processes.

Availability last checked: 4 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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