senior-pm

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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. Use when a user needs help with project plans, project status reports, risk assessments, resource allocation, project roadmaps, milestone tracking, team capacity planning, portfolio health reviews, program management, or executive-level project reporting — especially for enterprise-scale initiatives with multiple workstreams, complex dependencies, or multi-million dollar budgets.

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Senior Project Management Expert

Overview

Strategic project management for enterprise software, SaaS, and digital transformation initiatives. Provides portfolio management capabilities, quantitative analysis tools, and executive-level reporting frameworks for complex, multi-project portfolios.

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:

# EMV and risk-adjusted budget calculation
def calculate_emv(risks):
    category_weights = {"Technical": 1.2, "Resource": 1.1, "Financial": 1.4, "Schedule": 1.0}
    total_emv = 0
    for risk in risks:
        score = risk["probability"] * risk["impact"] * category_weights[risk["category"]]
        emv = risk["probability"] * risk["financial_impact"]
        total_emv += emv
        risk["score"] = score
    return total_emv
def risk_adjusted_budget(base_budget, portfolio_risk_score, risk_tolerance_factor):
    risk_premium = portfolio_risk_score * risk_tolerance_factor
    return base_budget * (1 + risk_premium)

Risk Response Strategies (by score threshold):

Avoid (>18): Eliminate through scope/approach changes

Mitigate (12-18): Reduce probability or impact through active intervention

Transfer (8-12): Insurance, contracts, partnerships

Accept (<8): 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

Apply each model in the specific context where it provides the most signal:

Weighted Shortest Job First (WSJF) — Resource-constrained agile portfolios with quantifiable cost-of-delay

def wsjf(user_value, time_criticality, risk_reduction, job_size):
    return (user_value + time_criticality + risk_reduction) / job_size

RICE — Customer-facing initiatives where reach metrics are quantifiable

def rice(reach, impact, confidence_pct, effort_person_months):
    return (reach * impact * (confidence_pct / 100)) / effort_person_months

ICE — Rapid prioritization during brainstorming or when analysis time is limited

def ice(impact, confidence, ease):
    return (impact + confidence + ease) / 3

Model Selection — Use this decision logic:

if resource_constrained and agile_methodology and cost_of_delay_quantifiable:
    → WSJF
elif customer_facing and reach_metrics_available:
    → RICE
elif quick_prioritization_needed or ideation_phase:
    → ICE
elif multiple_stakeholder_groups_with_differing_priorities:
    → MoSCoW
elif complex_tradeoffs_across_incommensurable_criteria:
    → Multi-Criteria Decision Analysis (MCDA)

Reference: references/portfolio-prioritization-models.md

Risk Management Framework

Reference: references/risk-management-framework.md

Step 1: Risk Classification by Category

Technical: Architecture, integration, performance

Resource: Availability, skills, retention

Schedule: Dependencies, critical path, external factors

Financial: Budget overruns, currency, economic factors

Business: Market changes, competitive pressure, strategic shifts

Step 2: Three-Point Estimation for Monte Carlo Inputs

def three_point_estimate(optimistic, most_likely, pessimistic):
    expected = (optimistic + 4 * most_likely + pessimistic) / 6
    std_dev = (pessimistic - optimistic) / 6
    return expected, std_dev

Step 3: Portfolio Risk Correlation

import math
def portfolio_risk(individual_risks, correlations):
    # individual_risks: list of risk EMV values
    # correlations: list of (i, j, corr_coefficient) tuples
    sum_sq = sum(r**2 for r in individual_risks)
    sum_corr = sum(2 * c * individual_risks[i] * individual_risks[j]
                   for i, j, c in correlations)
    return math.sqrt(sum_sq + sum_corr)

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

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

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

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

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

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

   python3 scripts/project_health_dashboard.py current_portfolio.json
   

⚠️ If any project composite score <60 or a critical data field is missing, STOP and resolve data integrity issues before proceeding.

2. Risk Assessment Update

   python3 scripts/risk_matrix_analyzer.py current_portfolio.json
   

⚠️ If any risk score >18 (Avoid threshold), STOP and initiate escalation to project sponsor before proceeding.

3. Capacity Analysis

   python3 scripts/resource_capacity_planner.py current_portfolio.json
   

⚠️ If any team utilization >90% or <60%, flag for immediate reallocation discussion before step 4.

4. Executive Summary Generation - Synthesize outputs into executive report format - Highlight critical issues and recommendations - Prepare stakeholder communications

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

Reference: references/portfolio-kpis.md for full definitions and measurement guidance.

Portfolio Performance

On-time Delivery Rate: >80% within 10% of planned timeline

Budget Variance: <5% average across portfolio

Quality Score: >85 composite rating

Risk Mitigation Coverage: >90% risks with active plans

Resource Utilization: 75-85% average

Strategic Value

ROI Achievement: >90% projects meeting projections within 12 months

Strategic Alignment: >95% investment aligned with business priorities

Innovation Balance: 70% operational / 20% growth / 10% transformational

Stakeholder Satisfaction: >8.5/10 executive average

Time-to-Value: <6 months average post-completion

Risk Management

Risk Exposure: Maintain within approved appetite ranges

Resolution Time: <30 days (medium), <7 days (high)

Mitigation Cost Efficiency: <20% of total portfolio risk EMV

Risk Prediction Accuracy: >70% probability assessment accuracy

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

Related Skills

Product Strategist (product-team/product-strategist/) — Product OKRs align with portfolio objectives

Scrum Master (project-management/scrum-master/) — Sprint velocity data feeds project health dashboards