Software Engineering Manager - Financial Reporting
About the role
insightsoftware is a global provider of reporting, analytics, and performance management solutions. This role involves leading two scrum teams focused on building and enhancing the financial reporting capabilities of the Certent Equity Management (CEM) platform for a large, strategic enterprise client engagement.
Responsibilities
Own delivery outcomes across both Reporting/BI scrum teams — with accountability structures and management depth calibrated to each team’s structure.
For the Lead-staffed team: hold the Lead Engineer accountable for daily execution, technical quality, and team health — staying ahead of risks without micromanaging delivery.
For the directly-managed team: provide hands-on direction on priorities, unblock engineers directly, run scrum ceremonies, and serve as the daily technical and delivery authority.
Translate complex financial reporting requirements into structured delivery plans; actively manage priorities, surface trade-offs, and keep both teams focused on the highest-impact work.
Communicate status clearly and fluently — accountable upward to the Director of Reporting/BI Engineering and across to QA, Platform Integrations, and Application Engineering verticals — with accurate, actionable narratives.
Identify blockers, dependencies, and risks early across both teams; drive resolution through direct ownership or escalation.
Qualifications
6+ years of software engineering experience with a strong background in BI, reporting, or SQL-heavy environments, plus 2+ years in an engineering management or technical lead capacity.
Sufficient Oracle SQL and PL/SQL depth to engage credibly on technical decisions, query architecture, and performance tradeoffs — and to provide active, standing technical direction to a team of Sr Engineers without a Lead layer.
Demonstrated experience managing engineers directly at the IC level — setting technical direction, running ceremonies, and unblocking individual engineers. Managing only through leads is not sufficient for this role.
Demonstrated AI-first engineering mindset — hands-on experience with agentic development tooling (GitHub Copilot, Claude Code, Devin.AI, or similar) and a track record of driving meaningful AI adoption within engineering teams.
Proven ability to engage directly and credibly with client stakeholders on complex reporting requirements — asking the right questions, challenging scope, and translating business problems into engineering plans.
Strong delivery ownership mindset — experience setting clear accountability structures, managing priorities across multiple parallel workstreams, and driving outcomes to completion.
Strong written and verbal communication skills — able to deliver clear narratives to senior leadership and engage substantively with client stakeholders.
Experience managing distributed, global engineering teams across multiple time zones.
Bachelor’s degree in Computer Science, Engineering, or equivalent work experience.