MS-FDL-Ops Architect-Manager

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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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