Danielle Mapes · Strategy and operations · Seattle

Strategy, planted with purpose and built to scale.

I'm Danielle Mapes, a Seattle-based strategy and operations leader. I design the operating models, platforms, and human-AI systems that help large organizations scale, most recently for Microsoft's learning organization.

I have always been drawn to living systems: gardens, communities, organizations. The healthy ones share a habit. They are built to sustain themselves, feeding the ground they grow in instead of using it up.

That idea has shaped my work from my early years running arts programs to my time at Microsoft, where I have gone from producing enterprise events, to designing the systems that run them, to rebuilding how an entire function delivers learning. The aim never changes: build something that keeps growing after I step back, and leave the ground better than I found it.

Danielle Mapes
Currently
Senior Program Manager, Learning Delivery, supporting Microsoft via GP Strategies
Focus
Strategy, operating design, human-AI systems
Based in
Seattle, Washington
How I work
I am an intentional nurturer. I plant with purpose, tend with care, and measure success by the harvest.

What works in a garden works beautifully at work. Understand the ground, plant with intent, tend it through the season, and bring in a harvest worth sharing.

The harvest is my favorite part: real results, celebrated with the people who helped grow them. And because I tend the soil as carefully as the crop, the things I build tend to keep growing after I have moved on to the next bed.

  1. 01Soil testing

    Analyze

    Before anything goes in the ground, I learn what is there: the real need, the team's strengths, the budget, the landscape. Strong results start with knowing your soil.

  2. 02Sowing

    Initiate

    I start with a focused planting that can prove the idea, in the spot where it is most likely to thrive. A strong pilot is a seed tray for the whole field.

  3. 03Growing season

    Monitor and adjust

    I set up the signals early (feedback loops, a few honest metrics, a steady check-in rhythm) so I can stake, prune, and water at exactly the right moment.

  4. 04Harvest

    Reflect and enjoy

    Results deserve a proper look, and the people who grew them deserve the credit. I measure what came up, celebrate it together, and note what surprised us.

  5. 05Over-winter

    Reiterate

    The quiet period is where the next season takes shape. Documentation, clean handoffs, and candid notes give whoever plants next rich soil and a plan for spring.

Selected work

Six projects, most recent first. Open any one for the full story, or expand them all and settle in.

2020 to 2026
01Rebuilding the learning front doorSenior Program Manager, Learning Delivery · 202699% faster tier 1 support · $0 added cost
01

Rebuilding the front door to learning

Title
Senior Program Manager, Learning DeliveryMicrosoft People Operations · May 2026 to present
Work
Program lead, designer, and product owner: site architecture, AI knowledge agent, web app, content automation, knowledge governance

The front door to learning services had stopped doing its job. Content was stale, links were broken, and the same question got different answers depending on the route you took.

Behind the interface, intake and publishing ran through a slow, costly external change queue, so every fix cost more than it returned. The organization wanted to reduce spend and simplify flows, and neither was reachable by patching. I proposed rebuilding it from the ground up.

At a glance12 June to 14 September 2026
13 weeks
From problem identification to a live, maintainable operating surface
27 work items
Site, knowledge agent, cost estimator, automation, backend
277 hours
About 21 hours a week, alongside an existing workload
≈ $363K
Catalogue value at midpoint (range $225,818 to $500,733)
$0
Incremental cost, delivered within my existing contract with no RFP or new statement of work
Dependency removed
Routine change no longer routes through an external supplier
99%
Reduction in tier 1 support times through the AI agent deflection layer

Discovery before building

I documented the requirement so it could be handed to whoever would build against it.

  • A program proposal and two requirements briefs covering UI and UX redesign and backend integration
  • Future-state personas for learners, program managers, and partners
  • A process teardown defining the services the site needed to support
  • A 376-item site inventory, with a keep, rework, or retire decision on every item
  • Two facilitated focus groups and a prioritization survey of 17 stakeholders
  • A program plan and sitemap

The decision

The build estimate kept stalling, and the program was waiting on a number it could not get. So I offered to build it myself, inside my existing role.

The offer rested on a clear read of my own capabilities. I would lead with program management, design, and product ownership, and use the AI native to my toolkit to cover the engineering gap. I held the architecture. AI executed a design I already had, and it taught me the deeper development skills as I went, so the timeline held.

I am a good program manager. I have design experience. I am comfortable with AI. I have product ownership experience. I am not an engineer.

How I framed the offer to build. Knowing exactly where my skills ended was the point: AI had recently moved that boundary, and I knew which side of it each part of the work sat on.

What I delivered

An operating surface for the function

A new site, built from scratch

Framework, navigation, resource library, and branding, designed to be maintained by the team that owns it.

An AI knowledge agent

Answers questions at the point of need and deflects routine volume, with a responsibility matrix that decides when it hands off to a person.

A knowledge base built for AI

376 items restructured, deduplicated, and validated, with escalation paths, update tracking, and regional content for grounding.

A cost estimator app

Itemized budgets for learning sessions, events, and publishing, shipped with a build brief, rebuild spec, and runbook so it can be run without an engineer.

Content automation

A pipeline drafts how-to articles twice a week and checks for duplicates. A person reviews and publishes every one, in 15 minutes or less.

A simpler backend

Legacy forms and flows retired after a dependency analysis. Routine updates now stay with the team that owns the work.

Where the 277 hours went

Half the time went into the site and the knowledge architecture behind it. Production barely registers.

Site build and knowledge agent
84 of 84 hrs
Actual 84 hrs · Estimate 84 hrs · 100%
Knowledge-base strategy and architecture
56 of 62 hrs
Actual 56 hrs · Estimate 62 hrs · 90%
Scoping and requirements
44 of 86 hrs
Actual 44 hrs · Estimate 86 hrs · 51%
Cost estimator tool
34 of 60 hrs
Actual 34 hrs · Estimate 60 hrs · 57%
Focus groups and feedback
17 of 44 hrs
Actual 17 hrs · Estimate 44 hrs · 39%
Planning and design
16 of 30 hrs
Actual 16 hrs · Estimate 30 hrs · 53%
FAQ build and validation
14 of 24 hrs
Actual 14 hrs · Estimate 24 hrs · 58%
Content production
4 of 26 hrs
Actual 4 hrs · Estimate 26 hrs · 15%
Backend and forms
4 of 8 hrs
Actual 4 hrs · Estimate 8 hrs · 50%
Content automation
4 of 16 hrs
Actual 4 hrs · Estimate 16 hrs · 25%
Total
277 of 440 hrs (63%)

The estimate is my own model of the hours an external team would plausibly scope for the same work. It is not a supplier figure. Bars share one scale.

02A human-AI model for coordinationSenior Program Manager · 2024 to 202670% faster planning · 200% more capacity

Every new program added more meetings, more status emails, and more people chasing the same documents. Growth scaled with effort, and the most strategic people on the team spent their days on administration.

70%shorter planning cycles
80%less coordination overhead
200%more portfolio capacity
95%stakeholder satisfaction

What I built

A replicable Human-AI collaboration framework for program and event operations. AI agents handle planning, scheduling, documentation, and reporting. People keep strategy, stakeholder relationships, and the decisions that carry accountability, with explicit checkpoints where a human commits.

People own

Strategy, stakeholder alignment, trade-off decisions, commitments

Agents handle

Workback plans, scheduling, documentation, status reporting, lessons learned

How it rolled out

Phase 1

Crawl

Standardized intake, connected to the Microsoft 365 tools teams already used

Phase 2

Walk

Pilots with partner APIs

Phase 3

Run

Predictive planning and broader organizational adoption

I also wrote the team's paper on federated agentic AI models for event execution, setting the direction for extending this across groups.

03Innovation EditionsCreated within my events roleRecognized by the Office of the CEO
03

Innovation Editions

Where events, AI, production technology, and strategy met in one room

Leaders were being asked to decide on technology they had mostly read about. I created a quarterly showcase where they could see emerging AI and learning tools working first.

It began inside my events portfolio and became a bridge. It was an experience format, a production technology testbed, and a forum for evaluating AI, and it fed directly into strategy.

Title
Senior Program ManagerCreated and owned within my events role
Work
Concept, program design, executive audience, technology curation
Innovation Editions Events AI Strategy Production technology

Scaled to the whole organization

Piloted to the full Global Learning and Skilling organization, with leadership-level attendance.

Recognized at the top

Earned recognition from Microsoft's Office of the CEO.

Changed real decisions

Directly influenced tooling and event strategy decisions across the HR organization.

04Enterprise experiences as a systemProgram Manager to Senior PM · 2023 to 2025$1.4M savings · 40+ programs

Large experiences are where an organization's strategy becomes something people can attend. When each one is planned from scratch, with its own vendors and its own rules, the cost shows up in budget, in quality, and in how long it takes leaders to get a decision made.

$1.4Msavings identified against a $5.5M budget
40+programs on my operating model
65%faster program spin-up
2 rolesfull-time headcount approved during layoffs

The problem

The portfolio ranged from 50-person executive workshops to company-wide moments of 50,000+, with global deliveries averaging 2,500 people across regions. It ran on fragmented vendors, inconsistent intake, and planning knowledge that lived in individual heads.

What I built

  • Joined the launch of a new Microsoft production studio mid-build in 2023, took a consultative role alongside the studio vendor, and drove it to launch readiness.
  • A three-tier complexity framework within six months, setting standards, workflows, and vendor engagement by audience scale, off-site logistics, repeatability, and support needs.
  • An operating model of governance, intake, and planning standards, adopted by our managed service supplier across 40+ programs.
  • A consolidated global delivery model and preferred-supplier frameworks across 12+ vendor categories, from AV and production to venue, staffing, and logistics.
  • A workback planning system that scales timelines in proportion to complexity, and a 12-week sprint to rebuild the events playbook.

How it ended

The program's results made the case for two full-time roles during a period of company-wide layoffs. I transitioned the events program to dedicated full-time ownership in July 2025.

05Scaling a community arts programDirector, Bal-Art · 2022 to 202320 → 200 artists · 15% sales growth

Arts organizations run on goodwill and very little margin. That makes them an honest test of operating design: if the system asks too much of people, they leave.

20 → 200participating artists
5 → 40artists placed with local businesses in year one
15%growth in art sales revenue
98%favorable expo feedback, with 15% average quarterly attendance growth

What I built

  • A redesigned program and operating model, plus a community artist directory that connected artists directly with local businesses.
  • Venue and retail partnerships in three new community locations.
  • A fiscal sponsorship that funded additional programming through community-sourced resources.
  • A quarterly two-day creatives expo run at scale, averaging 40 vendors per edition.
06Rebuilding an education programAssistant Director, Push/Pull · 2020 to 20234 platforms → 1 · Doubled capacity for monthly workshops

Push/Pull was growing and changing at the same time. Its classes were listed across four platforms, and teachers were burning out on coordination alone.

4 → 1class listing platforms
2xmonthly workshop capacity
100%class fill rate, 80% of the time
100+ hrsvolunteer support per expo at no added labor cost

What I built

  • An end-to-end education coordination program, designed from scratch, that brought four platforms into one system with repeatable, templated workflows.
  • A volunteer program averaging 25 members and 40+ hours a month of support for learning and community programming.
  • Volunteer staffing that scaled to 100+ hours across two-day expos at no added labor cost.
Career growth

Every ring made the next one possible

Like a tree's rings, each role grew around the one before it. The newest, widest ring represents my most recent work.

2016ROOTS
  1. 2026 · PRESENTSenior Program Manager, Learning DeliveryNowTransforming the platform; the front door is now scaling enterprise-wide
  2. 2024 TO 2026Senior Program ManagerOperating model across 40+ programs, human-AI coordination framework
  3. 2023 TO 2024Program Manager, EventsProduction studio launch, three-tier complexity framework
  4. 2020 TO 2023Program Director, Bal-Art · Assistant Director, Push/PullCommunity programs, partnerships, education operations
  5. 2016 TO PRESENTFounder, Danielle Mapes Fine ArtsWhere the instinct for building durable systems started

Beyond the day job

Where the range comes from
In development · Agtech

Eden: practical AI for small farms

Most AI in agriculture is built and priced for large operations, which leaves small farming businesses behind. Eden began as a business plan I wrote during my business degree and is taking shape as a consultancy concept: helping small farms adopt AI in ways that fit their scale, budget, and seasons.

My plan for building domain depth: USDA beginning farmer training, the Washington State University Green School Program, hands-on trials of farm management software, and time with growers at Seattle-area farmers markets.

2016 to present

Danielle Mapes Fine Arts

An independent practice I founded and run: commissions, exhibitions, contracts, and client relationships, with an 80% repeat client rate and an 85 NPS.

Writing

Systems thinking, in public

I write on LinkedIn about AI in the workplace, operating design, and what creative practice teaches about building systems people want to use. Start with my favorite, Dig This: On Soil, Software, and the Future We're Building, or browse recent posts.

Career

Roles and credentials
  • Microsoft · People Operations · contract through GP Strategies
  • May 2026 to presentSenior Program Manager, Learning DeliveryPlatform transformation, knowledge modernization, AI-enabled service delivery
  • Jun 2024 to May 2026Senior Program Manager, Talent, Diversity, Inclusion & LearningGlobal learning and experience portfolio, operating model, human-AI framework
  • Sep 2023 to Jun 2024Program Manager, Events, Talent & Learning ExperiencesEnterprise events, production studio launch, complexity framework
  • Before Microsoft
  • Mar 2022 to Aug 2023Program Director, Bal-ArtCommunity arts programs and partnerships
  • Sep 2020 to Aug 2023Assistant Director, Push/PullMember-owned gallery and learning space
  • 2016 to presentFounder, Danielle Mapes Fine ArtsIndependent practice
Education
  • MBA, Western Governors University, 2026
  • BBA, Western Governors University, 2024
WGU Excellence Awards
  • Strategic Thinking and Innovation
  • Business Structures and Legal Environment
  • Management Communication
  • BBA Capstone
Also
  • Fine and studio arts, Metropolitan State University of Denver
  • Front-end web development and design, Skillcrush
A little more about me

Off the clock

Danielle Mapes smiling at sunset on Lookout Mountain, Colorado

I live just north of Seattle, where the weather is ideal for two things: growing greens and building character. Most weekends you will find me in the garden, testing unusual seed mixes against Pacific Northwest cloud cover, or out on a run with a faster 10K in my sights.

My love of land took root on my aunt's farm, and the long game is a small diversified farm of my own, with goats, bees, and more fruits and veggies than I can eat myself (don't worry, I'll share!). In the meantime I paint, practice yoga, request more saxophone solos on KEXP than is entirely reasonable, and hunt relentlessly for the next horror novel to get my heart rate up.

Currently growing
Leeks, beets, basil, pumpkin
Currently reading
Coyote Songs - Gabino Iglesias
Currently listening
Delta blues, jazz-prog fusion
Contact

Have a program that needs a system?

LinkedIn
Danielle Mapes · Seattle Metro Area Microsoft work shown as outcomes only