New opportunity

Tech & Data - AI Governance - Associate 2

PwC Acceleration Centres · Bangalore, India

About this role

This Associate role at PwC Acceleration Center India supports clients in developing trustworthy, data-driven solutions and AI governance practices. Within the Assurance practice, the work also supports independent assessments of financial statements and internal controls. The posting specifies 40 hours per week in Bangalore, India.

Responsibilities

Develop AI governance frameworks aligned with industry standards and help shape AI practices, operating approaches and organizational change.
Manage governance, risk and control assessment projects; evaluate risk-management strategies and recommend improvements to control programs.
Use analytics, data wrangling and automation to support informed client decisions, and gather information from multiple sources to identify patterns.
Collaborate with teams and stakeholders on governance objectives, facilitate AI governance discussions, and explain technical concepts to non-technical audiences. Take ownership of quality work across client engagements.

Required qualifications

At least 2 years of experience and a bachelor's degree in a relevant field, including accounting, finance, information systems, computer or information science, economics, business administration or management, engineering, technology, mathematics or statistics, or a listed combination of these fields.
Oral and written proficiency in English.

Qualifications that set candidates apart:

Experience with model evaluation frameworks and testing protocols; familiarity with data science and the AI lifecycle.
Understanding of technology risks and internal controls, and knowledge of NIST, ISO and other risk-management frameworks.
Ability to design AI governance operating models and policies, assess governance, risk and control programs, communicate with non-technical stakeholders, and work effectively in teams and client-support environments.

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

Skills for this role

AI governanceAI governance frameworksRisk managementInternal controlsModel evaluationTesting protocolsData scienceAI lifecycleNIST frameworksISO standardsData analyticsData wranglingAutomationProject managementStakeholder communicationEnglish

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

Build practical AI governance frameworks
The role calls for developing frameworks aligned with industry standards and influencing AI practices. The posting also highlights operating models, policies, and knowledge of NIST and ISO as differentiators.
Assess risk and strengthen controls
Manage governance, risk, and control assessments; evaluate risk-management strategies; and recommend improvements to control programs. The role sits within Assurance, which the posting connects to independent assessments of financial statements and internal controls.
Turn data into trustworthy decisions
Use analytics, data wrangling, and automation to support client decisions. Gather information from multiple sources, analyze facts, and identify patterns.
Deliver clear, collaborative client work
Facilitate AI governance discussions, align teams on governance objectives, explain technical concepts to non-technical audiences, and take ownership of quality work across engagements.

Likely challenges to think through

Making standards usable
Preparation hypothesis: Translating broad framework guidance into workable policies and controls may require balancing rigor with practicality. Prepare to explain how you would connect a governance objective to an operating practice and evidence that it works.
Judging controls against evolving AI risks
Preparation hypothesis: An assessment may need to distinguish a documented control from one that addresses a real risk, while accounting for the AI lifecycle. Prepare an example approach for evaluating a control, identifying a gap, and recommending a proportionate improvement.
Explaining findings without losing nuance
Preparation hypothesis: Stakeholders may need an actionable conclusion rather than technical detail, but oversimplification can hide uncertainty. Prepare to present a data- or risk-based finding in plain English, including its evidence, limitations, and recommended next step.

Practice your answers

Technical practice

How would you develop an AI governance framework for a client?

What to coverThe posting calls for frameworks aligned with industry standards. Preparation suggestion: explain how you would identify the client's AI uses and risks, define governance objectives and controls, and check whether the framework is practical to operate.

How would you use NIST or ISO guidance in an AI governance assessment?

What to coverThe posting lists knowledge of NIST and ISO risk-management frameworks as a differentiator. Preparation suggestion: discuss using relevant guidance as a reference for assessing gaps, while explaining why a client's context determines which provisions apply.

What should an AI governance operating model and its policies establish?

What to coverThe posting identifies operating models and policies as areas that set candidates apart. Preparation suggestion: address decision rights, responsibilities, oversight and how policies become workable practices across teams.

Where would governance checks fit across the AI lifecycle?

What to coverThe posting names familiarity with data science and the AI lifecycle as a differentiator. Preparation suggestion: consider checks during development, evaluation, use and ongoing review, and explain how risks or evidence needs may change over time.

How would you design a model evaluation and testing approach?

What to coverThe posting specifically mentions model evaluation frameworks and testing protocols. Preparation suggestion: explain how you would choose tests against the model's intended use and risks, document results, and decide when findings require further work.

How would you assess technology risks and internal controls?

What to coverThe posting emphasizes technological risks, internal controls and governance, risk and control assessments. Preparation suggestion: describe how you would connect a risk to a control objective, examine evidence of the control's operation and report any gaps.

How would you evaluate a risk-management strategy and recommend control improvements?

What to coverThe role calls for evaluating risk-management strategies and providing insights to improve control programs. Preparation suggestion: distinguish identifying a gap from prioritizing a feasible improvement, including the risk addressed and how its effectiveness could be checked.

How would you turn information from multiple sources into trustworthy client insights?

What to coverThe posting describes gathering information, discerning patterns, and using analytics and data wrangling for informed decisions. Preparation suggestion: cover source reconciliation, data-quality checks and how you would communicate uncertainty or limitations in the findings.

Where could automation help in this work, and what would still need review?

What to coverThe posting mentions automation tools alongside analytics and data wrangling. Preparation suggestion: identify a repeatable information-processing task, then discuss checks needed to preserve accuracy and trustworthy outputs.

How would you organize a governance, risk and control assessment engagement?

What to coverThe posting calls for managing assessment projects and delivering quality work across client engagements. Preparation suggestion: describe how you would define scope, gather evidence, track findings and coordinate reviews; keep the approach proportionate to an associate's responsibilities.

Behavioural practice

Tell me about a time you explained a technical issue to a non-technical audience.

What to coverThe role calls for translating complex concepts for stakeholders. Preparation suggestion: use a real situation, explain how you adapted your message and describe the resulting understanding or decision.

Describe a time you helped a team align on an objective.

What to coverThe posting emphasizes collaboration and alignment with governance objectives. Preparation suggestion: give a real example of differing perspectives, your actions to establish a shared approach and the result.

Tell me about a time you took ownership of the quality of your work.

What to coverThe posting expects associates to take ownership and deliver quality work on client engagements. Preparation suggestion: describe the situation, the checks or corrections you personally made and the outcome without overstating your role.

Describe a time you helped others adopt a different way of working.

What to coverThe posting calls for influencing AI practices to support organizational change. Preparation suggestion: use a real example of the change needed, how you addressed concerns or gained support, and what happened.

Tell me about a time you adapted to an unfamiliar client or team challenge.

What to coverThe posting highlights diverse clients and teams, curiosity and a learning mindset. Preparation suggestion: explain what you needed to learn, the actions you took and how that affected the work.

Sharpen your knowledge

Topics to prepare

AI governance frameworks and operating models
Posted responsibility: develop frameworks aligned with industry standards; operating models and policies are listed as differentiators. Revise by sketching who would own an AI policy, approve its use, monitor it and handle exceptions, then explain how those roles form a governance framework.
Technology risk and internal controls
Posted responsibility: evaluate risk-management strategies and recommend improvements to control programs. Revise by taking a hypothetical AI-related risk and tracing it to a control, evidence that the control operates, and a possible improvement.
Risk-management standards
Knowledge of NIST, ISO and other risk-management frameworks is listed as a differentiator; no specific standard is named. Revise the purpose and structure of a familiar NIST framework and an applicable ISO standard, then practise explaining how either could inform an AI governance assessment without treating it as a mandated approach.
AI lifecycle and model evaluation
Familiarity with the AI lifecycle and experience with model evaluation frameworks and testing protocols are listed as differentiators. Revise the stages from development through monitoring, and outline what evidence a testing protocol would record at each relevant stage.

Skills to revise

Draft a governance assessment
Posted work includes managing governance, risk and control assessments. Practise turning a hypothetical AI use case into a short assessment plan: scope, questions for stakeholders, evidence to request, findings and proposed control improvements.
Synthesize information from multiple sources
The posting calls for gathering information from various sources, discerning patterns, and using analytics and data wrangling for decisions. Practise reconciling two small, inconsistent sample data tables; document assumptions, identify a pattern and state what the data cannot establish. A particular tool is not specified.
Explain findings to non-technical stakeholders
Posted responsibilities include translating technical concepts and facilitating AI governance discussions. Practise a two-minute explanation of an AI risk, its proposed control and the decision needed from a stakeholder, using plain English and inviting a clarifying question.
Structure client-engagement work
The role calls for managing assessment projects, collaborating with teams and taking ownership of quality work. Practise drafting a one-page work plan with deliverables, owners, review points and open questions for a hypothetical governance assessment.

Your preparation checklist

Map the stated qualifications
Make a one-page reference sheet covering the posting’s required degree field, at least two years of experience, and oral and written English proficiency. Keep these separate from the qualifications listed as differentiators.
Prepare a relevant project walkthrough
If you have a suitable example, outline the objective, your contribution, evidence used, controls or governance decisions, and outcome. Choose work involving AI governance, risk assessment, data analysis, or client support; do not present a hypothetical as past work.
Draft a sample AI governance framework
As a preparation exercise, sketch decision roles, policies, review points across the AI lifecycle, and how issues would be escalated. Note where NIST or ISO guidance could inform it without claiming the posting mandates a specific standard.
Practice a risk-and-control assessment
Work through a hypothetical AI use case and produce a short risk register: risks, existing controls, evidence to request, gaps, and recommended improvements. Include how you would communicate findings relevant to an Assurance engagement.
Show how you would test and analyze evidence
Prepare a brief example of model-evaluation questions and testing evidence, alongside a data-wrangling or automation workflow that combines sources to identify patterns. Label any invented data as illustrative.
Rehearse a stakeholder discussion
Explain one technical risk and its proposed control in plain English, then prepare questions about how teams agree governance objectives and manage assessment work across client engagements.

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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