Senior Tech Manager – SAP Retail Reporting & Reconciliation Applications

CVS Health•New York, MA

7d•$118,450 - $260,590

About The Position

We are seeking a Senior Technical Manager – Retail Finance Reporting & Reconciliation Applications to lead a high-performing engineering team responsible for SAP Retail BW reporting, financial/data reconciliation platforms, and full-stack applications supporting high-volume retail finance processes that handle millions of transactions per day. The Senior Manager should have broad familiarity with SAP BW reporting, enterprise reconciliation platforms, cloud-based data engineering, full-stack application delivery, and audit-ready operational practices. This role requires a leader who can bridge SAP BW data warehousing and modern full-stack/cloud application platforms, guide technical teams, evaluate solution design quality, challenge architectural decisions, and communicate technology tradeoffs to business and executive stakeholders.

Requirements

7+ years of IT experience with a strong focus on engineering and software architecture and development.
7+ years of experience supporting or providing technical oversight for SAP BW reporting solutions, including familiarity with Advanced DataStore Objects, CompositeProviders, transformations, DTPs, Process Chains, BW queries, data load monitoring, and source-to-target validation.
3+ years of required experience with Google Cloud Platform (GCP) and BigQuery reporting, including designing, developing, and supporting scalable reporting solutions.
5+ years of experience with SQL and database performance tuning, including query optimization, indexing/partitioning strategies, execution plan analysis, and performance troubleshooting for enterprise reporting and reconciliation workloads.
Experience leading or supporting mission-critical reporting, reconciliation, or transaction processing platforms that process millions of records or transactions per day, with accountability for scalability, reliability, operational controls, and production support.
5+ years recruiting, managing, and retaining a high-performing team of software development professionals in an agile environment.
3+ years using generative AI as an integrated component in software solutions.
Bachelor’s degree or equivalent in Computer Science, Information Systems, Engineering or related field required.

Nice To Haves

Ability to diagram complex software architectures and communicate complex engineering ideas to non-technical stakeholders both visually and verbally.
Strong experience in React, API Platform and full cycle development end-to-end, from strategy to execution.
Strong understanding of cloud-based technologies (GCP), engineering frameworks and tools.
Understanding and familiarity with CI/CD, cloud dev ops, containers (Kubernetes/Docker, etc.), and GCP managed services.
Experience in large Retail, Pharmacy, a plus.

Responsibilities

Provide technical direction, evaluate solution design quality, and ensure teams deliver scalable, resilient, high-value solutions aligned to business, operational, audit, and enterprise architecture needs.
Monitor and optimize application, reporting, database, and data pipeline performance for high-volume transaction environments, including throughput, query performance, data load windows, latency, reliability, resiliency, and operational SLAs.
Recruit, manage, mentor, and retain a high-performing engineering team while contributing to a positive and supportive culture, encouraging innovation, and driving a pragmatic balance of continuous improvement and effective value delivery.
Collaborate closely with other technical teams (engineering, platform, design, security, audit) to understand their expectations and develop solutions in accordance with appropriate guidelines.
Proactively identify, communicate, and mitigate both internal and external risks. Communicate clearly on progress, challenges, and opportunities to stakeholders, including presenting technical concepts to non-technical audiences.
Stay updated on industry trends, emerging technologies, and best practices in software development, analytics, and AI technologies to drive innovation and efficiency.