senior-pm

name	senior-pm
description	Senior Project Manager for enterprise software, SaaS, and digital transformation projects. Specializes in portfolio management, quantitative risk analysis, resource optimization, stakeholder alignment, and executive reporting. Uses advanced methodologies including EMV analysis, Monte Carlo simulation, WSJF prioritization, and multi-dimensional health scoring.
license	MIT + Commons Clause
metadata	{"version":"2.0.0","author":"borghei","category":"project-management","domain":"enterprise-pm","updated":"2026-03-04T00:00:00.000Z","tags":["project-management","stakeholder-management","risk","planning"],"python-tools":"project_health_dashboard.py, risk_matrix_analyzer.py, resource_capacity_planner.py, stakeholder_mapper.py","tech-stack":"portfolio-management, risk-analysis, stakeholder-mapping, executive-reporting"}

Senior Project Management Expert

Overview

Strategic project management for enterprise software, SaaS, and digital transformation initiatives. This skill provides sophisticated portfolio management capabilities, quantitative analysis tools, and executive-level reporting frameworks for managing complex, multi-million dollar project portfolios.

Use when

• The user asks to "run a portfolio health review", "build an executive status report", or "do a stakeholder map"
• Multiple projects need prioritization across WSJF / RICE / ICE / MoSCoW with strategic alignment
• A board-ready or executive-ready RAG report needs to be produced
• Risk analysis needs EMV, Monte Carlo, or portfolio risk correlation — beyond a basic probability/impact matrix
• Resource capacity planning is needed across multiple concurrent projects
• A quarterly portfolio rebalancing or three-horizons review is being planned
• The user says "our portfolio is misaligned", "executives don't trust the reports", or "we can't tell which projects are actually healthy"

Core Expertise Areas

Portfolio Management & Strategic Alignment

• Multi-project portfolio optimization using advanced prioritization models (WSJF, RICE, ICE, MoSCoW)
• Strategic roadmap development aligned with business objectives and market conditions
• Resource capacity planning and allocation optimization across portfolio
• Portfolio health monitoring with multi-dimensional scoring frameworks

Quantitative Risk Management

• Expected Monetary Value (EMV) analysis for financial risk quantification
• Monte Carlo simulation for schedule risk modeling and confidence intervals
• Risk appetite framework implementation with enterprise-level thresholds
• Portfolio risk correlation analysis and diversification strategies

Executive Communication & Governance

• Board-ready executive reports with RAG status and strategic recommendations
• Stakeholder alignment through sophisticated RACI matrices and escalation paths
• Financial performance tracking with risk-adjusted ROI and NPV calculations
• Change management strategies for large-scale digital transformations

Methodology & Frameworks

Three-Tier Analysis Approach

Tier 1: Portfolio Health Assessment Uses project_health_dashboard.py to provide comprehensive multi-dimensional scoring:

python3 scripts/project_health_dashboard.py assets/sample_project_data.json

Health Dimensions (Weighted Scoring):

• Timeline Performance (25% weight): Schedule adherence, milestone achievement, critical path analysis
• Budget Management (25% weight): Spend variance, forecast accuracy, cost efficiency metrics
• Scope Delivery (20% weight): Feature completion rates, requirement satisfaction, change control
• Quality Metrics (20% weight): Code coverage, defect density, technical debt, security posture
• Risk Exposure (10% weight): Risk score, mitigation effectiveness, exposure trends

RAG Status Calculation:

• 🟢 Green: Composite score >80, all dimensions >60
• 🟡 Amber: Composite score 60-80, or any dimension 40-60
• 🔴 Red: Composite score <60, or any dimension <40

Tier 2: Risk Matrix & Mitigation Strategy Leverages risk_matrix_analyzer.py for quantitative risk assessment:

python3 scripts/risk_matrix_analyzer.py assets/sample_project_data.json

Risk Quantification Process:

1. Probability Assessment (1-5 scale): Historical data, expert judgment, Monte Carlo inputs
2. Impact Analysis (1-5 scale): Financial, schedule, quality, and strategic impact vectors
3. Category Weighting: Technical (1.2x), Resource (1.1x), Financial (1.4x), Schedule (1.0x)
4. EMV Calculation: Risk Score = (Probability × Impact × Category Weight)

Risk Response Strategies:

• Avoid (>18 score): Eliminate through scope/approach changes
• Mitigate (12-18 score): Reduce probability or impact through active intervention
• Transfer (8-12 score): Insurance, contracts, partnerships
• Accept (<8 score): Monitor with contingency planning

Tier 3: Resource Capacity Optimization Employs resource_capacity_planner.py for portfolio resource analysis:

python3 scripts/resource_capacity_planner.py assets/sample_project_data.json

Capacity Analysis Framework:

• Utilization Optimization: Target 70-85% for sustainable productivity
• Skill Matching: Algorithm-based resource allocation to maximize efficiency
• Bottleneck Identification: Critical path resource constraints across portfolio
• Scenario Planning: What-if analysis for resource reallocation strategies

Advanced Prioritization Models

Weighted Shortest Job First (WSJF) - For Agile Portfolios

WSJF Score = (User Value + Time Criticality + Risk Reduction) ÷ Job Size

Application Context:
- Resource-constrained environments
- Fast-moving competitive landscapes  
- Agile/SAFe methodology adoption
- Clear cost-of-delay quantification available

RICE Framework - For Product Development

RICE Score = (Reach × Impact × Confidence) ÷ Effort

Best for:
- Customer-facing initiatives
- Marketing and growth projects
- When reach metrics are quantifiable
- Data-driven product decisions

ICE Scoring - For Rapid Decision Making

ICE Score = (Impact + Confidence + Ease) ÷ 3

Optimal when:
- Quick prioritization needed
- Brainstorming and ideation phases
- Limited analysis time available
- Cross-functional team alignment required

Decision Tree for Model Selection: Reference: references/portfolio-prioritization-models.md

• Resource Constrained? → WSJF
• Customer Impact Focus? → RICE
• Need Speed? → ICE
• Multiple Stakeholder Groups? → MoSCoW
• Complex Trade-offs? → Multi-Criteria Decision Analysis (MCDA)

Risk Management Framework

Quantitative Risk Analysis Process: Reference: references/risk-management-framework.md

Step 1: Risk Identification & Classification

• Technical risks: Architecture, integration, performance
• Resource risks: Availability, skills, retention
• Schedule risks: Dependencies, critical path, external factors
• Financial risks: Budget overruns, currency, economic factors
• Business risks: Market changes, competitive pressure, strategic shifts

Step 2: Probability/Impact Assessment Uses three-point estimation for Monte Carlo simulation:

Expected Value = (Optimistic + 4×Most Likely + Pessimistic) ÷ 6
Standard Deviation = (Pessimistic - Optimistic) ÷ 6

Step 3: Expected Monetary Value (EMV) Calculation

EMV = Σ(Probability × Financial Impact) for all risk scenarios

Risk-Adjusted Budget = Base Budget × (1 + Risk Premium)
Risk Premium = Portfolio Risk Score × Risk Tolerance Factor

Step 4: Portfolio Risk Correlation Analysis

Portfolio Risk = √(Σ Individual Risks² + 2Σ Correlation×Risk1×Risk2)

Risk Appetite Framework:

• Conservative: Risk scores 0-8, 25-30% contingency reserves
• Moderate: Risk scores 8-15, 15-20% contingency reserves
• Aggressive: Risk scores 15+, 10-15% contingency reserves

Stakeholder Mapping & Engagement

Power/Interest Grid (Mendelow's Matrix)

Uses stakeholder_mapper.py to classify stakeholders and generate communication plans:

python3 scripts/stakeholder_mapper.py stakeholders.json
python3 scripts/stakeholder_mapper.py --demo --format json

Classification Quadrants (threshold at 5/10):

• Manage Closely (High Power, High Interest): Weekly 1:1s, steering committee, proactive escalation
• Keep Satisfied (High Power, Low Interest): Monthly executive summary, milestone invites
• Keep Informed (Low Power, High Interest): Bi-weekly newsletter, demo invites, dashboards
• Monitor (Low Power, Low Interest): Quarterly updates, organizational newsletter

Blocker Engagement Strategy: The tool identifies stakeholders with attitude: blocker and generates targeted engagement strategies based on their power level — high-power blockers require urgent 1:1 engagement and potential executive sponsor escalation; low-power blockers need transparency and involvement.

Integration with OKR Brainstorming: Stakeholder mapping feeds directly into OKR alignment — high-power/high-interest stakeholders shape strategic objectives, while their feedback validates Key Results. Cross-reference with execution/brainstorm-okrs/ for OKR development workflows.

Reference: references/stakeholder-engagement-guide.md Template: assets/stakeholder_map_template.md

Assets & Templates

Project Charter Template

Reference: assets/project_charter_template.md

Comprehensive 12-section charter including:

• Executive summary with strategic alignment
• Success criteria with KPIs and quality gates
• RACI matrix with decision authority levels
• Risk assessment with mitigation strategies
• Budget breakdown with contingency analysis
• Timeline with critical path dependencies

Key Features:

• Production-ready for board presentation
• Integrated stakeholder management framework
• Risk-adjusted financial projections
• Change control and governance processes

Executive Report Template

Reference: assets/executive_report_template.md

Board-level portfolio reporting with:

• RAG status dashboard with trend analysis
• Financial performance vs. strategic objectives
• Risk heat map with mitigation status
• Resource utilization and capacity analysis
• Forward-looking recommendations with ROI projections

Executive Decision Support:

• Critical issues requiring immediate action
• Investment recommendations with business cases
• Portfolio optimization opportunities
• Market/competitive intelligence integration

RACI Matrix Template

Reference: assets/raci_matrix_template.md

Enterprise-grade responsibility assignment featuring:

• Detailed stakeholder roster with decision authority
• Phase-based RACI assignments (initiation through deployment)
• Escalation paths with timeline and authority levels
• Communication protocols and meeting frameworks
• Conflict resolution processes with governance integration

Advanced Features:

• Decision-making RACI for strategic vs. operational choices
• Risk and issue management responsibility assignment
• Performance metrics for RACI effectiveness
• Template validation checklist and maintenance procedures

Sample Portfolio Data

Reference: assets/sample_project_data.json

Realistic multi-project portfolio including:

• 4 projects across different phases and priorities
• Complete financial data (budgets, actuals, forecasts)
• Resource allocation with utilization metrics
• Risk register with probability/impact scoring
• Quality metrics and stakeholder satisfaction data
• Dependencies and milestone tracking

Data Completeness:

• Works with all three analysis scripts
• Demonstrates portfolio balance across strategic priorities
• Includes both successful and at-risk project examples
• Provides historical trend data for analysis

Expected Output Examples

Reference: assets/expected_output.json

Demonstrates script capabilities with:

• Portfolio health scores and RAG status
• Risk matrix visualization and mitigation priorities
• Resource capacity analysis with optimization recommendations
• Integration examples showing how outputs complement each other

Implementation Workflows

Portfolio Health Review (Weekly)

1. Data Collection & Validation

   # Update project data from JIRA, financial systems, team surveys
   python3 scripts/project_health_dashboard.py current_portfolio.json
   

   • Validate: all 5 health dimensions have current-period data; no project missing more than one dimension
2. Risk Assessment Update

   # Refresh risk probabilities and impact assessments
   python3 scripts/risk_matrix_analyzer.py current_portfolio.json
   

   • Validate: every critical/high risk has an active mitigation owner; no risks aged >30 days without update
3. Capacity Analysis

   # Review resource utilization and bottlenecks
   python3 scripts/resource_capacity_planner.py current_portfolio.json
   

   • Validate: utilization sits in the 70-85% optimal band; hotspots flagged with a named resolution action
4. Executive Summary Generation
   • Synthesize outputs into executive report format
   • Highlight critical issues and recommendations
   • Prepare stakeholder communications
   • Validate: one-page RAG summary fits the audience; every red status has a documented intervention plan inside 48 hours

Monthly Strategic Review

1. Portfolio Prioritization Review

   • Apply WSJF/RICE/ICE models to evaluate current priorities
   • Assess strategic alignment with business objectives
   • Identify optimization opportunities

2. Risk Portfolio Analysis

   • Update risk appetite and tolerance levels
   • Review portfolio risk correlation and concentration
   • Adjust risk mitigation investments

3. Resource Optimization Planning

   • Analyze capacity constraints across upcoming quarter
   • Plan resource reallocation and hiring strategies
   • Identify skill gaps and training needs

4. Stakeholder Alignment Session

   • Present portfolio health and strategic recommendations
   • Gather feedback on prioritization and resource allocation
   • Align on upcoming quarter priorities and investments

Quarterly Portfolio Optimization

1. Strategic Alignment Assessment

   • Evaluate portfolio contribution to business objectives
   • Assess market and competitive position changes
   • Update strategic priorities and success criteria

2. Financial Performance Review

   • Analyze risk-adjusted ROI across portfolio
   • Review budget performance and forecast accuracy
   • Optimize investment allocation for maximum value

3. Capability Gap Analysis

   • Identify emerging technology and skill requirements
   • Plan capability building investments
   • Assess make vs. buy vs. partner decisions

4. Portfolio Rebalancing

   • Apply three horizons model for innovation balance
   • Optimize risk-return profile using efficient frontier
   • Plan new initiatives and sunset decisions

Integration Strategies

Atlassian Integration

• Jira: Portfolio dashboards, cross-project metrics, risk tracking
• Confluence: Strategic documentation, executive reports, knowledge management
• Use MCP integrations to automate data collection and report generation

Financial Systems Integration

• Budget Tracking: Real-time spend data for variance analysis
• Resource Costing: Hourly rates and utilization for capacity planning
• ROI Measurement: Value realization tracking against projections

Stakeholder Management

• Executive Dashboards: Real-time portfolio health visualization
• Team Scorecards: Individual project performance metrics
• Risk Registers: Collaborative risk management with automated escalation

Handoff Protocols

TO Scrum Master

Context Transfer:

• Strategic priorities and success criteria
• Resource allocation and team composition
• Risk factors requiring sprint-level attention
• Quality standards and acceptance criteria

Ongoing Collaboration:

• Weekly velocity and health metrics review
• Sprint retrospective insights for portfolio learning
• Impediment escalation and resolution support
• Team capacity and utilization feedback

TO Product Owner

Strategic Context:

• Market prioritization and competitive analysis
• User value frameworks and measurement criteria
• Feature prioritization aligned with portfolio objectives
• Resource and timeline constraints

Decision Support:

• ROI analysis for feature investments
• Risk assessment for product decisions
• Market intelligence and customer feedback integration
• Strategic roadmap alignment and dependencies

FROM Executive Team

Strategic Direction:

• Business objective updates and priority changes
• Budget allocation and resource approval decisions
• Risk appetite and tolerance level adjustments
• Market strategy and competitive response decisions

Performance Expectations:

• Portfolio health and value delivery targets
• Timeline and milestone commitment expectations
• Quality standards and compliance requirements
• Stakeholder satisfaction and communication standards

Success Metrics & KPIs

Portfolio Performance Indicators

• On-time Delivery Rate: >80% projects delivered within 10% of planned timeline
• Budget Variance: <5% average variance across portfolio
• Quality Score: >85 composite quality rating across all projects
• Risk Mitigation Effectiveness: >90% risks with active mitigation plans
• Resource Utilization: 75-85% average utilization across teams

Strategic Value Indicators

• ROI Achievement: >90% projects meeting ROI projections within 12 months
• Strategic Alignment: >95% portfolio investment aligned with business priorities
• Innovation Balance: 70% operational, 20% growth, 10% transformational projects
• Stakeholder Satisfaction: >8.5/10 average satisfaction across executive stakeholders
• Value Acceleration: <6 months average time from completion to value realization

Risk Management Indicators

• Risk Exposure Level: Maintain within approved risk appetite ranges
• Risk Resolution Time: <30 days average for medium risks, <7 days for high risks
• Mitigation Cost Efficiency: Mitigation spend <20% of total portfolio risk EMV
• Risk Prediction Accuracy: >70% accuracy in risk probability assessments

Continuous Improvement Framework

Portfolio Learning Integration

• Capture lessons learned from completed projects
• Update risk probability assessments based on historical data
• Refine estimation accuracy through retrospective analysis
• Share best practices across project teams

Methodology Evolution

• Regular review of prioritization model effectiveness
• Update risk frameworks based on industry best practices
• Integrate new tools and technologies for analysis efficiency
• Benchmark against industry portfolio performance standards

Stakeholder Feedback Integration

• Quarterly stakeholder satisfaction surveys
• Executive interview feedback on decision support quality
• Team feedback on process efficiency and effectiveness
• Customer impact assessment of portfolio decisions

This skill represents the pinnacle of enterprise project management capability, providing both strategic oversight and tactical execution support for complex digital transformation initiatives. The combination of quantitative analysis, sophisticated prioritization, and executive-level communication enables senior project managers to drive significant business value while managing enterprise-level risks and complexities.

Anti-patterns

Anti-pattern	Failure mode	Fix
RAG status assigned by gut feel, not by dimension scoring	Optimism bias; reds surface too late; executives lose trust in the reports	Use project_health_dashboard.py thresholds and calibrate dimension weights with sponsors — don't override without documenting why
Risk register full of "medium" risks	Team avoiding extreme ratings; no actionable signal	Run a calibration workshop with reference incidents; force a distribution across low/medium/high/critical
Portfolio-level decisions made from project-level dashboards	Local optimization; strategic misalignment; hidden dependencies	Aggregate via portfolio view; apply WSJF/RICE across the portfolio, not per project
Capacity planner shows zero gaps while teams complain of overload	Utilization excludes meeting overhead, context-switching, unplanned work	Include 15% meeting overhead and 5% context-switching; validate against team self-reports
Stakeholder map classifies everyone as "Manage Closely"	Thresholds too low or scores inflated; dilutes engagement plan	Use relative ranking within the group; enforce the 4-quadrant split
Executive reports written for the PM, not the executive	Attention drops; decisions delayed; report becomes an artifact not a tool	Lead with RAG + top 3 decisions needed; push dimension detail to an appendix
Treating EMV as a point estimate	Planning against a single number; surprise when variance arrives	Present EMV with a confidence range; layer Monte Carlo for schedule-critical projects
Ignoring risk correlation across projects	Shared dependency fails and multiple projects go red simultaneously	Run portfolio-level correlation analysis quarterly; flag shared vendors, shared teams, shared infra
Rebalancing the portfolio reactively (project-by-project) instead of on a cadence	Whiplash for teams; rebalancing becomes political	Quarterly rebalancing on a fixed cadence using three horizons and efficient-frontier view

Troubleshooting

Symptom	Likely Cause	Resolution
Portfolio health score does not match stakeholder perception	Dimension weights misaligned with organizational priorities, or data inputs incomplete	Recalibrate HEALTH_DIMENSIONS weights with executive sponsors; ensure all 5 dimensions have data
Risk matrix shows all risks clustered in medium zone	Probability/impact scoring lacks granularity or team avoids extreme ratings	Facilitate risk calibration workshop; use three-point estimation and reference past incidents
Resource capacity planner shows zero gaps despite team complaints	Utilization data does not account for meeting overhead, context-switching, or unplanned work	Verify CAPACITY_FACTORS config; include 15% meeting overhead and 5% context-switching penalty
Stakeholder mapper classifies everyone as "Manage Closely"	Power/interest thresholds too low for your organization, or scores inflated	Adjust POWER_THRESHOLD and INTEREST_THRESHOLD (default: 5); use relative ranking within group
RAG status oscillates between green and amber weekly	Thresholds set too tight, or data updates cause noise	Widen amber band (e.g., 55-80 instead of 60-80); use rolling 2-week average instead of point-in-time
EMV calculations produce unrealistically high risk exposure	Category weights compounding with high probability/impact scores	Review RISK_CATEGORIES weights; cap financial risk weight at 1.4x; validate probability estimates against historical data
Executive reports are too long for stakeholder attention span	Report template includes too many detail sections for the audience	Tailor output to audience using the tone guide; executives need 1-page RAG summary, not full dimension breakdown

Success Criteria

• Portfolio average health score maintained above 75/100 across all active projects
• On-time delivery rate exceeds 80% (within 10% of planned timeline)
• Budget variance maintained below 5% average across the portfolio
• Risk mitigation effectiveness above 90% (all critical/high risks have active mitigation plans)
• Resource utilization consistently in the 70-85% optimal range
• Stakeholder satisfaction above 8.5/10 as measured by quarterly surveys
• All projects in red RAG status have documented intervention plans within 48 hours

Scope & Limitations

In Scope:

• Multi-project portfolio health assessment with weighted composite scoring
• Quantitative risk analysis using EMV, probability/impact matrices, and category weighting
• Resource capacity planning with utilization optimization and skill-matching
• Stakeholder mapping with Mendelow's Matrix and targeted communication plans
• Executive-level reporting with RAG status dashboards and strategic recommendations

Out of Scope:

• Sprint-level team management (see scrum-master/ skill)
• Product backlog management and feature prioritization (see execution/prioritization-frameworks/)
• Agile coaching and team maturity assessment (see agile-coach/ skill)
• Financial modeling beyond project-level ROI (see finance/ domain skills)
• Contract negotiation and procurement management

Important Caveats:

• Health scores use deterministic formulas, not ML predictions. Calibrate thresholds to your portfolio context.
• Risk EMV calculations assume independent risks. Portfolio risk correlation analysis (Step 4) provides a more accurate combined view but requires cross-project dependency data.
• Resource capacity planning models are weekly snapshots; they do not account for intra-week variability or unplanned work spikes.

Integration Points

Integration	Direction	Description
scrum-master/	Receives from	Sprint velocity and health metrics feed portfolio-level health dashboards
sprint-retrospective/	Receives from	Retro insights inform stakeholder reports and process improvement tracking
execution/brainstorm-okrs/	Feeds into	Portfolio priorities and strategic context shape quarterly OKR themes
execution/outcome-roadmap/	Feeds into	Portfolio health data influences roadmap commitment levels (Now/Next/Later)
discovery/pre-mortem/	Receives from	Launch-blocking tigers escalate into portfolio risk register
execution/release-notes/	Complements	Release notes incorporate stakeholder communication plans from mapper
Jira via Atlassian MCP	Bidirectional	Pull project data for health analysis; push status reports to Confluence
Financial Systems	Receives from	Real-time budget and spend data for variance analysis

Tool Reference

project_health_dashboard.py

Aggregates project metrics across timeline, budget, scope, quality, and risk dimensions. Produces composite health scores and RAG status.

Flag	Type	Default	Description
data_file	positional	(required)	Path to JSON file containing project portfolio data
--format	choice	text	Output format: text or json

risk_matrix_analyzer.py

Builds probability/impact matrices, calculates weighted risk scores by category, and suggests mitigation strategies.

Flag	Type	Default	Description
data_file	positional	(required)	Path to JSON file containing risk register data
--format	choice	text	Output format: text or json

resource_capacity_planner.py

Models team capacity across projects, identifies utilization imbalances, and provides optimization recommendations.

Flag	Type	Default	Description
data_file	positional	(required)	Path to JSON file containing resource and project capacity data
--format	choice	text	Output format: text or json

stakeholder_mapper.py

Classifies stakeholders into Mendelow's Matrix quadrants and generates tailored communication plans with blocker engagement strategies.

Flag	Type	Default	Description
data_file	positional	(optional)	Path to JSON file with stakeholder data
--format	choice	text	Output format: text or json
--demo	flag	off	Run with built-in sample data (10 stakeholders)