Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 5 days ago

Chief Data Officer

InTalent Asia784 open roles

Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowChief Data OfficerInTalent Asia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on InTalent Asia's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. InTalent Asia postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

InTalent Asia median: 1 days open

The posting

WE ARE HIRING: Chief Data Officer

Location: Colombo, Sri Lanka Employment Type: Full Time Industry: Banking & Financial Services

Role Overview

We are seeking a visionary and highly experienced Chief Data Office to lead enterprise-wide data strategy, governance, analytics, artificial intelligence, and data transformation initiatives within a leading banking organization. Reporting directly to the Chief Information Officer (CIO), the successful candidate will be responsible for establishing a future-ready data ecosystem that enables data-driven decision-making, regulatory compliance, operational excellence, and AI-powered innovation. This leadership role will drive the organization's transformation into a data-centric and AI-enabled enterprise while ensuring strong governance, security, and regulatory compliance. The ideal candidate will bring significant experience in banking or financial services, enterprise data management, advanced analytics, cloud technologies, data architecture, and large-scale transformation programs.

Key Responsibilities

Data Strategy & Enterprise Data Leadership

  • Develop and execute a multi-year enterprise data strategy aligned with organizational objectives and digital transformation goals.
  • Establish a long-term vision for data management, analytics, artificial intelligence, and enterprise reporting.
  • Identify opportunities to leverage data as a strategic asset and create value through data-driven business initiatives.
  • Partner with executive leadership to drive enterprise-wide adoption of data-driven decision-making practices.
  • Lead the implementation and optimization of enterprise data platforms including Data Lakes, Data Warehouses, Cloud Data Platforms, and Analytics Environments.

Data Governance & Data Management

  • Establish and maintain enterprise data governance frameworks, policies, standards, and controls.
  • Ensure all data initiatives align with organizational governance requirements and regulatory expectations.
  • Lead Master Data Management (MDM) initiatives and establish Golden Records for critical business entities.
  • Develop and maintain centralized data dictionaries, metadata repositories, business glossaries, and data lineage frameworks.
  • Drive improvements in data quality, accuracy, consistency, integrity, and accessibility across the organization.
  • Establish robust processes for data stewardship, ownership, and accountability.

AI & Digital Transformation

  • Drive the organization's evolution into an AI-first enterprise.
  • Lead strategic initiatives involving Artificial Intelligence, Machine Learning, Generative AI, and advanced analytics.
  • Support the implementation of Open Banking API integrations and next-generation digital capabilities.
  • Drive the development of enterprise-wide data platforms that enable hyper-personalization, predictive analytics, and intelligent automation.
  • Evaluate emerging technologies and identify opportunities to strengthen innovation and business performance.
  • Promote the adoption of AI-powered decision-making capabilities across business functions.

Data Architecture & Technology Leadership

  • Partner with the CIO and technology teams to define enterprise data architecture strategies.
  • Oversee the design, implementation, and evolution of enterprise data platforms and analytics infrastructure.
  • Guide technology decisions relating to cloud adoption, data platforms, analytics tools, and enterprise data architecture.
  • Drive the adoption of modern architecture frameworks including Data Mesh, Lakehouse architectures, and cloud-native analytics platforms.
  • Ensure scalability, performance, security, and resilience of enterprise data environments.

Regulatory Compliance & Risk Management

  • Ensure compliance with BCBS 239, PDPA, GDPR, Banking Act Directions, and other applicable regulatory requirements.
  • Collaborate closely with Risk, Compliance, Information Security, and Internal Audit teams on data governance initiatives.
  • Ensure effective implementation of data privacy, access management, and information security controls.
  • Monitor data-related risks and implement appropriate mitigation strategies.
  • Support regulatory examinations, audits, and compliance reporting requirements.

Data Culture & Analytics Enablement

  • Champion a strong data-driven culture throughout the organization.
  • Establish and lead a Data & Analytics Center of Excellence.
  • Develop enterprise data literacy programs and training initiatives.
  • Promote best practices in data management, analytics, AI, and business intelligence.
  • Drive cross-functional collaboration to maximize the value of data assets.
  • Enable business units to leverage analytics and insights for strategic and operational decision-making.

Leadership & Stakeholder Management

  • Lead and develop high-performing teams across Data Management, Analytics, Business Intelligence, Data Engineering, and Governance functions.
  • Provide executive-level presentations and strategic recommendations to senior leadership, Executive Committees, and the Board of Directors.
  • Build strong relationships with regulators, technology partners, business leaders, and external stakeholders.
  • Drive organizational change and transformation initiatives related to data and analytics.
  • Establish performance metrics and KPIs to measure the success of enterprise data initiatives.

Candidate Profile

  • Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related discipline from a recognized institution.
  • A Master's Degree (MBA, MSc, or equivalent) is highly preferred.
  • Minimum 10+ years of experience in Data Management, Data Architecture, Analytics, Business Intelligence, or related fields.
  • Minimum 5 years of senior leadership experience leading enterprise-scale data and analytics functions.
  • Proven experience within the Banking or Financial Services sector is essential.
  • Strong expertise in Master Data Management (MDM), Data Governance, Data Warehousing, Business Intelligence, and Enterprise Data Architecture.
  • Hands-on experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Strong understanding of Data Mesh, Data Lake, Data Warehouse, and Lakehouse architectures.
  • Experience implementing enterprise analytics, AI, Machine Learning, Generative AI, and RAG-based solutions.
  • Strong knowledge of Open Banking, API ecosystems, and digital banking platforms.
  • Comprehensive understanding of regulatory frameworks including BCBS 239, PDPA, GDPR, and banking regulatory requirements.
  • Experience driving large-scale enterprise data transformation initiatives.
  • Excellent executive communication, stakeholder management, and presentation skills.
  • Strong leadership, team-building, and change management capabilities.
  • Ability to communicate complex technical concepts to executive, business, and regulatory audiences.
  • Strong strategic thinking, problem-solving, and decision-making abilities.

Ready to take your career to new heights?

We're InTalent Asia, your go-to recruitment partner in Sri Lanka, and we've got an exciting opportunity for you!

Our client is looking for a skilled individual to fill the role of Chief Data Office.

Apply now and see how you can be the perfect fit for this exclusive position!

#InTalentAsia #CareerOpportunity #JobVacancy #HeadOfData #DataAnalytics #DataGovernance #ArtificialIntelligence #BusinessIntelligence #BankingTechnology #DataTransformation #DataLeadership #CareerGrowth

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against InTalent Asia's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on InTalent Asia's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    InTalent Asia's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.