About the role
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Job Title: Operation Architect
Summary:
We are looking for highly skilled and experienced Technology Operations Manager / Solution Architect to lead the end-to-end ownership of a scalable enterprise data product platform in the corporate finance transformation space.
This role sits at the intersection of architecture, engineering, and operational excellence , responsible for driving platform scalability, delivery execution, and team leadership for a high-performing team . The ideal candidate will combine deep technical expertise with strong operational rigor and stakeholder management , enabling the delivery of data-driven finance transformation solutions (P2P, O2C, R2R, FP&A, etc.) at scale.
You will play a critical leadership role in shaping data platform strategy, engineering standards, and delivery governance , while ensuring high availability, quality, and business value realization across client engagements.
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Responsibilities:
Technology & Architecture Leadership
Define , collaborate and own the architecture roadmap for scalable data platforms supporting finance transformation use cases
Manage and some time implement robust, secure, and high-performance data pipelines and analytics layers (cloud-native)
Establish architecture standards, design patterns, and best practices across data ingestion, processing, storage, and consumption layers
Drive adoption of modern data stack (e.g., cloud data platforms, data lakes/lakehouse, orchestration, APIs, AI/ML enablement)
Work with the DevOps team closely to create and own CI, CD , release management
Lead incident management drives, situations and resolution.
Delivery & Operational Excellence
Lead end-to-end delivery governance for multiple concurrent workstreams, ensuring timelines, quality, and outcmes
Implement operating models for scaled delivery (agile, DevOps, SRE practices)
Establish KPIs, SLAs, and performance monitoring frameworks for platform reliability, scalability, and cost optimization
Drive continuous improvement initiatives across engineering productivity, quality, and release management
Ensure data quality, governance, and compliance frameworks are embedded in platform operations
Team Leadership & Talent Management
Lead and scale a multi-disciplinary team including data engineers, architects, analysts, and DevOps specialists
Build a high-performance culture focused on accountability, innovation, and outcome delivery
Drive resource planning, capability building, and skill development aligned to evolving platform needs
Mentor and coach team members on technical depth, problem-solving, and client engagement
Business & Stakeholder Management
Partner with business stakeholders, finance transformation leaders, and clients to translate requirements into scalable solutions
Act as a bridge between business and technology , ensuring alignment to value realization and measurable outcomes
Support solutioning, proposals, and client discussions with architecture and delivery inputs
Communicate program status, risks, and value delivered to executive stakeholders
Platform & Product Mindset
Drive a product-centric approach to platform development (reusability, modularity, scalability)
Identify opportunities to industrialize solutions into reusable assets/platform capabilities
Enable AI/analytics-driven insights on finance data to unlock business value
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Qualifications
Education & Experience
Bachelor’s/Master’s degree in Computer Science, Engineering, or related field
12–18+ years of experience in data engineering, platform architecture, and delivery leadership
Proven experience leading large engineering teams in enterprise environments
Technical Expertise
Strong hands-on experience with cloud platforms (Azure, AWS, or GCP)
Expertise in data architecture patterns (data lakes, lakehouse, warehouses, distributed processing)
Proficiency in data engineering tools and frameworks (e.g., Spark, Kafka, Airflow, DBT, etc.)
Experience with API-driven architectures, microservices, and integration frameworks
Understanding of data governance, security, and compliance frameworks
Operational & Delivery Skills
Proven track record in driving large-scale delivery programs with strong governance
Experience implementing DevOps, CI/CD, and SRE practices in data platforms
Strong understanding of scalability, performance tuning, and cost optimization
Domain & Functional Knowledge
Exposure to corporate finance processes (P2P, O2C, R2R, FP&A) and finance data models
Experience in finance transformation, analytics platforms, or data-led transformation programs is highly preferred
Leadership & Behavioral Skills
Strong people leadership and team management capabilities
Excellent stakeholder management and communication skills (including executive-level engagement)
Ability to balance strategic thinking with hands-on execution
High ownership mindset with focus on outcomes, not just outputs
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