Sigma Software Group

Senior Project Manager – Executive Assistant to VP of Engineering

Sigma Software Group

full-time

Posted on:

Location Type: Remote

Location: Poland

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Tech Stack

About the role

  • Design, implement, and maintain dashboards and scorecards to reflect the progress toward strategic objectives
  • Define, refine, and evolve KPIs, SLAs, OKRs, and other metrics frameworks in collaboration with engineering, product, operations, and business teams
  • Aggregate, cleanse, and correlate data from multiple systems (e.g. JIRA, monitoring, data warehouse, internal tools, and financial systems)
  • Analyze trends, variances, and anomalies. Perform root cause analyses, and propose actions or changes to processes or focus
  • Produce regular reports (weekly, monthly, quarterly) for the VP, the executive team, and cross-functional stakeholders
  • Partner with stakeholders to vet and align on metric definitions, reporting cadences, and data interpretations
  • Assist in setting targets, thresholds, and goals for key metrics, and monitor progress toward them
  • Monitor the health of metrics (data quality, signal stability, outlier detection, alerting) and drive remediation when issues arise
  • Identify gaps in current measurement capabilities; propose and drive enhancements, including new instrumentation, tooling, or process changes
  • Serve as the “go-to” analytics/metrics liaison between the VP and various teams (engineering, product, operations, finance)
  • Assist in preparing executive-level narratives and presentations, translating complex data into impactful stories
  • Stay abreast of industry best practices in metrics, observability, dashboards, and data analytics. Implement innovations and continuous improvements

Requirements

  • 6+ years of experience in a technical or data-oriented roles (e.g. analytics, reporting, technical product management, program management with a strong focus on metrics)
  • Strong experience working with cross-functional engineering, product, or operations teams
  • Experience analyzing large data sets, identifying trends and anomalies, and performing root cause analysis
  • Excellent verbal and written communication skills, with ability to simplify complex analyses into digestible narratives for Senior audiences
  • Strong stakeholder management skills, with ability to influence across multiple teams without direct authority
  • Comfortable working in ambiguous, fast-moving environments
  • Experience in defining and refining KPIs, SLAs, OKRs, and similar measurement frameworks
  • Advanced level of English
  • Ukrainian native WILL BE A PLUS: Bachelor’s degree in computer science, engineering, data science, statistics, business analytics, or a related field (or equivalent experience)
  • Experience in technical domains (e.g. cloud, infrastructure, SaaS, and dev tools)
  • Familiarity with data warehouses, ETL processes, instrumentation, event tracking, observability, and monitoring systems
  • Experience working with program management tools (e.g. Azure DevOps, Jira, Confluence, and Asana)
  • Prior experience reporting to Senior executives or being part of an executive-facing analytics and insights team
  • Prior experience with metrics governance (defining metric ownership, ensuring metric consistency, handling metric versioning, and maintaining metric catalogs)
  • Experience in tooling improvements for measurement (e.g. instrumenting new metrics, automating data collection, and adopting of data-quality tooling)
Benefits
  • Professional development opportunities
  • Flexible work arrangements
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisroot cause analysisKPI definitionSLA definitionOKR definitiondata cleansingdata correlationmetrics governanceETL processesdata quality
Soft Skills
communication skillsstakeholder managementinfluencing skillsproblem-solvingadaptabilitynarrative buildingcollaborationanalytical thinkingpresentation skillsteamwork
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in engineeringBachelor’s degree in data scienceBachelor’s degree in statisticsBachelor’s degree in business analytics