
Senior Project Manager – Executive Assistant to VP of Engineering
Sigma Software Group
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇵🇱 Poland
Visit company websiteJob Level
Senior
Tech Stack
AzureCloudETL
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
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