Can AI make a plan to get me promoted?

Based on the provided information, I've identified the gaps, created a 90-day plan, and scripted a conversation with your manager.

**Gap Table: 3 Biggest Gaps Against Expectations**

| Gap | Current State | Expected State |
| --- | --- | --- |
| 1. Technical Roadmap and Architecture Decisions | Designed and launched a real-time recommendation engine, but no clear evidence of defining a technical roadmap or making architecture decisions that align with product vision | Define technical roadmap and make architecture decisions that align with product vision |
| 2. Influence Across Multiple Product Teams | Mentored three junior engineers and introduced a company-wide CI/CD pipeline template, but no clear evidence of influencing across at least three product teams | Influence across at least three product teams, driving best practices and standards |
| 3. Measurable Impact and Thought Leadership | Delivered significant improvements in latency and reliability, but no clear evidence of delivering measurable impact at the expected scale (>20% latency reduction, >15% cost reduction, or enabling a new revenue stream) or demonstrating thought leadership through internal talks, patents, or open-source contributions | Deliver measurable impact and demonstrate thought leadership through internal talks, patents, or open-source contributions |

**90-Day Plan with Visible Outcomes**

1. **Technical Roadmap and Architecture Decisions** (Weeks 1-4):
	* Collaborate with product managers to understand product vision and define a technical roadmap for a critical service (Outcome: Documented technical roadmap)
	* Lead a workshop to discuss architecture decisions and align with product vision (Outcome: Workshop presentation and minutes)
2. **Influence Across Multiple Product Teams** (Weeks 5-8):
	* Identify three product teams to influence and schedule meetings to discuss best practices and standards (Outcome: Meeting notes and action items)
	* Develop a proposal for a company-wide technical standard or best practice (Outcome: Documented proposal)
3. **Measurable Impact and Thought Leadership** (Weeks 9-12):
	* Identify a critical service or system to improve and define a plan to deliver measurable impact (>20% latency reduction, >15% cost reduction, or enabling a new revenue stream) (Outcome: Documented plan)
	* Prepare an internal talk or presentation on a technical topic and schedule a presentation to the engineering guild (Outcome: Presentation slides and feedback)

**Script for Asking Manager What 'Ready' Looks Like**

"Hi [Manager's Name], I wanted to discuss my career development and the expectations for the Staff Software Engineer role. I've been reviewing the leveling guide and job description, and I'm excited about the opportunities to grow and contribute to the company.

Can you help me understand what 'ready' looks like for this role? What specific skills, experiences, or accomplishments do you think are essential for me to demonstrate before being considered for a promotion?

I've identified some areas where I'd like to focus my efforts, including [mention the gaps you've identified]. Are there any other areas you think I should prioritize?

I'd also appreciate any feedback you can provide on my recent work and how it aligns with the expectations for the Staff Software Engineer role.

Lastly, what are the key performance indicators (KPIs) or outcomes that you'll be looking for in the next 90 days to determine my readiness for the promotion?"

Based on the provided information, I've identified the gaps, created a 90-day plan, and drafted a script for discussing your promotion with your manager.

**Gap Table: 3 Biggest Gaps Against Expectations**

| Expectation | Current Status | Gap |
| --- | --- | --- |
| 1. Strategic Impact | Built churn prediction model, presented quarterly insights | Lack of direct influence on product & go-to-market decisions, limited scope of projects |
| 2. Technical Depth | Designed and built churn prediction model, automated marketing dashboard | Limited experience with scalable ML pipelines, model governance, and data quality assurance |
| 3. Communication | Presented quarterly insights to VP, received mixed feedback | Need to improve clarity and effectiveness of presentations to executives, and develop a stronger data-driven culture champion |

**90-Day Plan with Visible Outcomes**

1. **Strategic Impact**:
	* Collaborate with product and marketing teams to integrate data insights into decision-making processes (Weeks 1-4)
	* Develop a proposal for a cross-functional project that drives revenue growth or cost reduction (Weeks 5-8)
	* Present the proposal to executives and receive feedback (Week 9)
	* Outcome: At least one cross-functional project approved, with clear metrics for success
2. **Technical Depth**:
	* Research and develop a plan for implementing scalable ML pipelines (Weeks 1-4)
	* Complete the data-quality audit, including all source tables (Weeks 5-8)
	* Develop a model governance framework and present it to the team (Week 9)
	* Outcome: A documented plan for scalable ML pipelines, completed data-quality audit, and a model governance framework
3. **Communication**:
	* Receive feedback from the VP on presentation skills and develop an improvement plan (Weeks 1-4)
	* Create clear, concise documentation for the churn prediction model and automated marketing dashboard (Weeks 5-8)
	* Present a data-driven story to the executive team, highlighting the impact of data analytics on business outcomes (Week 9)
	* Outcome: Improved presentation skills, clear documentation, and a well-received presentation to the executive team

**Script for Asking Your Manager What 'Ready' Looks Like**

"Hi [Manager's Name], I wanted to discuss my career development and the potential for a promotion to Data Science Manager. I've been reviewing the leveling guide and job description, and I'm excited about the opportunity to take on new challenges.

Can you help me understand what 'ready' looks like for this role? What specific skills, experiences, or accomplishments do you think are essential for success as a Data Science Manager?

I've identified a few areas where I'd like to improve, including [mention the gaps you've identified]. I've also developed a 90-day plan to address these gaps and demonstrate my capabilities.

Can we discuss this plan and ensure it aligns with your expectations? What are the key outcomes or milestones you'd like to see me achieve in the next 90 days?

I'm committed to my growth and development, and I appreciate your guidance and support in this process. Let's work together to ensure I'm prepared for the next level of responsibility."