• Own the full product lifecycle, from vision to delivery, for Retensa’s SaaS platforms • Be the bridge between client needs, business goals, and technical execution • Ensure products deliver value, scale effectively, and remain competitive • Contribute to product vision, roadmap, and priorities aligned with company goals and market opportunities • Translate requirements into clear functional specs, user stories, and sprint deliverables to guide development plans • Partner with engineering, design, marketing, and client success teams to deliver high-impact features on schedule • Interact with Client Support to gather user feedback, analyze product usage data, and integrate insights to inform product priorities and improvements • Monitor evolving industry trends and shifts to innovate solutions for competitive advantage • Track and analyze key product success metrics to ensure adoption, satisfaction, and overall business impact.

• Take charge of software-development efforts focused on improving an existing product • Clarify requirements with product and UX teams • Translate requirements into sprint-ready tickets • Coordinate developers and QA • Keep stakeholders informed through status reports and demos • Set up and maintain an agile framework • Manage dependencies and flag scope creep early • Deliver on-time with clear roadmaps, burn-down charts, and post-release metrics

• Manager, IT- Data Engineering role is focused on the core areas of: • Development activities involving projects, enhancements, defects. • Day-to-day operations to ensure business continuity, which also involves managing nightly support for ETL runs. • Team building and performance management involving a team of data engineers. • Lead and manage the team through the transition to cloud based future data platform. • Responsible for intimately overseeing data engineering activities related to development (SDLC) and release management. • Drive day-to-day maintenance and upkeep of existing code base and ETL solutions and manage resources who provide nightly support for ETL runs. • Accountable for continuing performance management, delegation of tasks and accountability, mentorship, and growth of data engineering resources on the team. • Liaising with downstream consumers of our data system as well as other technical teams who are either upstream (ERP source systems), downstream (consumer applications, reporting team, business analytics team) or simply provide underlying platform services(infrastructure) to Data Engineering practice. • Have deep understanding of data systems like Data Lake, Operational Datastore, Data Marts and Warehouses as well as hands on familiarity with ERP data topics (customer, sales and invoicing, supplier etc.). • Having hands-on experience with cloud-based systems and technologies like Azure Subscriptions, Azure Databricks, Azure DevOps CICD in terms of development and day-to-day operations is critical to function in this role. Any exposure to Terraform is highly desirable. Azure and Databricks Certifications are highly desirable.

• Owns the full people management lifecycle for direct reports: 1:1s, performance reviews, career development, hiring, terminations, and compensation decisions. • Manages multiple engineering teams, owning people and delivery outcomes across scope. • Ensures teams meet their KPIs and have the right staffing to deliver on commitments. • Develops Tech Leads in their roles, supporting their growth in design ownership, technical mentorship, and delivery accountability. • Owns active project management for feature development—defining scope with Product partners, scheduling delivery, identifying dependencies and complexities, managing timelines, and moving resources as necessary to protect commitments. • Acts as the project management layer for engineering: coordinates with Product Managers to align on deadlines and priorities, surfaces risks early, and proactively resolves scheduling conflicts. • Holds Tech Leads accountable to delivery commitments and design completion. Gut-checks estimates and engages with project designs, plans, and scope definitions to identify execution and schedule risk. • Holds partial accountability for burn charts—does not own them outright but is responsible for ensuring they accurately reflect project health. • Ensures deployment plans are defined and in place ahead of every feature release. • Identifies technical and schedule risks across projects; partners with Tech Leads on mitigation strategies before issues escalate. • Partners with Product Management to understand priorities, define features clearly, and negotiate tradeoffs between scope, time, and resources. • Partners with Tech Leads to ensure execution proceeds correctly per process and standards. Where execution gaps exist, addresses them through coaching, resourcing, or process intervention. • Drives process improvement initiatives to increase team efficiency, delivery predictability, and engineering quality.