Sunil Prakash AI Transformation, Platform Strategy, and Engineering Leadership
Platform-first transformation with compliance-by-design execution

Leading enterprise AI and platform transformation from strategy to operating model.

I shape the decisions that determine how large organizations adopt AI: platform strategy, governance patterns, delivery standards, and cross-functional execution. Currently serving as Vice President, Cloud & Platform Architecture at Deutsche Bank, with prior leadership roles in AI and enterprise architecture across banking and regulated environments.

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Executive AI Strategy Platform & Data Operating Models Enterprise Transformation Technology Governance Responsible AI / EU AI Act Readiness AI Risk, Controls, and Delivery Regulated Global Environments

Leadership Thesis

I build leadership-grade technology capability, not isolated projects.

My focus is turning AI and platform ambition into durable organizational capability: clear operating models, robust governance, and repeatable delivery standards. I work at the intersection of executive strategy, architecture direction, and high-accountability execution.

Strategic Leadership

  • Enterprise AI directionConverting business priorities into pragmatic AI and platform strategy.
  • Operating model designDefining standards, accountabilities, and governance for large engineering portfolios.
  • Executive alignmentPartnering with business, product, and engineering leadership on high-impact bets.

Transformation Leadership

  • Large-scale modernizationGuiding legacy-to-modern platform transitions with measurable delivery discipline.
  • AI-to-production governanceOperationalizing AI systems with risk, controls, and reliability built in.
  • Leadership multiplierCoaching principal engineers and architecture leaders to raise organizational bar.

Selected Outcomes

Leadership outcomes across banking, enterprise platforms, and AI productization.

Deutsche Bank Vice President, Cloud & Platform Architecture | 2021-Present

Led multi-year modernization of legacy application estates into cloud-native platform architecture while establishing enterprise data foundations on BigQuery, Dataflow, Composer, dbt, and Data Vault 2.0. The objective was long-term regulatory traceability and auditability in a Tier-1 bank, while improving delivery reliability and production resilience.

Halialabs Chief Scientist, AI & Platform Architecture | 2018-2021

Built and scaled NLP and deep learning solutions with event-driven platforms and data pipelines, creating a repeatable AI lifecycle from ingestion and model development to deployment, monitoring, and iterative improvement.

Cognizant Technology Specialist / Software Architect | 2012-2017

Led architecture and delivery governance for enterprise programs with strong emphasis on reliability, security, and performance, while mentoring teams and driving modern integration and quality practices.

Business Impact Case Studies

From architecture choices to measurable business outcomes.

Enterprise Platform Modernization

  • ScaleModernization across multiple business-critical legacy applications.
  • Why It MatteredReduced delivery drag and improved engineering reliability in a regulated banking context.
  • Leadership ActionDefined target architecture, governance guardrails, and phased execution model across teams.

Data Foundation for Compliance and AI Readiness

  • ScaleEnterprise data foundation spanning ingestion, orchestration, and modeled layers.
  • Why It MatteredUsed Data Vault 2.0 to improve auditability, lineage, and control posture for long-horizon regulatory needs.
  • Leadership ActionAligned data strategy with governance standards so analytics and AI use cases could scale safely.

AI Program Productionization

  • ScaleAI initiatives moving from isolated pilots to repeatable enterprise delivery pathways.
  • Why It MatteredConverted experimentation into operating capability with stronger risk controls and delivery confidence.
  • Leadership ActionIntroduced operating patterns for AI quality, governance, and production readiness.

Cross-Functional Transformation Governance

  • ScaleCoordination across engineering, product, risk, control, and business stakeholders.
  • Why It MatteredAccelerated decision velocity while preserving enterprise stability and precision of execution.
  • Leadership ActionCreated clear accountability models and executive reporting rhythms for strategic programs.

Expertise

Leadership capability across business transformation, technology strategy, and AI delivery.

Leadership Domains

  • AI Strategy & GovernanceEnterprise AI adoption models, risk controls, policy integration, and execution frameworks.
  • Platform & Data StrategyCloud and data operating models designed for reliability, auditability, and long-term enterprise scale.
  • Transformation ExecutionDelivery acceleration across complex portfolios in regulated global environments.
  • Technology LeadershipArchitecture leadership, principal-level mentoring, and cross-functional alignment.

Education & Credentials

  • PGPMAX (Executive MBA), In ProgressIndian School of Business (ISB)
  • M.Tech, Enterprise Business AnalyticsNational University of Singapore
  • B.E., Computer ScienceRGTU, India
  • CertificationGoogle Cloud Professional Cloud Architect

Market Credibility

Leadership signals valued by global executive search and hiring leaders.

  • Global Mandate AvailabilityOpen to long-term global leadership mandates across enterprise AI and platform transformation programs.
  • Responsible AI ReadinessCompliance-by-design operating style with practical alignment to EU AI Act expectations in regulated environments.
  • Stability and PrecisionPlatform-first execution model centered on reliability, controlled change, and operational resilience.
  • Framework-Led Thought LeadershipLinkedIn topics include AI Center of Excellence design, technical debt in agentic workflows, and enterprise AI governance models.
  • Current MandateVice President, Cloud & Platform Architecture, Deutsche Bank.

Contact

For executive mandates in AI, platform, and data transformation.

If you are shaping the next stage of enterprise AI capability and platform modernization, I am open to leadership conversations with executive search and hiring leadership.

LinkedIn Profilelinkedin.com/in/sunilprakash Emailsunil@sunilprakash.com