Vacancy-data accuracy
Improved in one quarter
Talent Acquisition · AI · Systems
I build practical operating systems.
I’m Adam Bogren. My background is Talent Acquisition. My current work combines that expertise with AI, automation, data, and process design to improve decisions, reduce manual work, and make complex work easier to run.
01
Build what works. Improve what doesn’t.
Deliver. Measure. Learn. Improve. Repeat.
Talent AcquisitionAI workflowsAutomationDecision qualitySystems thinking
Selected outcomes
Proof over promises.
The common thread: turn scattered recruiting activity into a system leaders and hiring teams can actually use.
Faster time to fill
Team improvement, 2015–2019
TA team growth
Built capacity through change
How I think
Operating problems are systems problems.
Most operating problems break down where priorities, data, process, technology, and decision-making stop lining up.
My Talent Acquisition work taught me to make those connections visible. Adam's AI Lab extends the same discipline into practical experiments: trustworthy inputs, clear ownership, useful automation, human judgment, and decisions people can explain.
Make the data trustworthyCreate operating disciplineKeep humans accountableDocument what changes
Adam's AI Lab
Real problems. Practical solutions.
The lab is where I apply AI, automation, and systems thinking to work and everyday life challenges that actually matter. Status labels are deliberate: this is a record of progress, not a showroom of imaginary products.
Featured system · Live operating evidence
Career Operating System
2026 Review Dashboard · June 2026–present
A working decision system for finding, verifying, evaluating, and learning from job opportunities without handing judgment over to the machine.
Executive decision viewWhat the search is teaching me
Automatically refreshed234Roles assessed
106Qualified / advanced
79Intentionally skipped
49Closed / removed
Operating rhythm
01
DiscoveryFind potential opportunities
02
VerificationConfirm the official source
03
EvaluationAssess fit, risk, and evidence
04
DecisionAdvance, skip, or close
05
LearningUse outcomes to improve the system
Decision quality
Application rate43.6%
Qualified lead rate45.3%
Decision coverage100.0%
Aggregate results refreshed after completed review runs. Last updated Aug 28, 2026. Employer and application details remain private.
01
Problem
A conventional application tracker records submissions, but loses the roles researched, rejected, closed, or repeatedly resurfaced.
02
System
Separate discovery, official-source verification, evaluation, decision, and learning into an auditable operating rhythm.
03
Evidence
The dashboard measures every verified opportunity and preserves the reason behind nearly every decision, not just applications.
04
Outcome
Less duplicated review, more consistent decisions, and a feedback loop that makes rejected opportunities useful data.
05
Next Iteration
Extend the same approach to AI-assisted candidate intelligence, thoughtful outreach preparation, and proactive relationship pipelines.
“Automation should increase authenticity, not replace it.”
Human judgment remains responsible for candidate relationships, context, outreach approval, and hiring decisions.
01Live
adambogren.com
The public front door to my career experience, practical AI experiments, and the lessons connecting them.
- The problem
- A resume can summarize outcomes, but it cannot fully show how someone thinks, builds, and learns.
- System
- Combine career evidence with transparent project notes in one durable, low-maintenance home on the web.
- Next Iteration
- Keep the operating evidence current and add deeper case studies as the work matures.
02Active
Career Operating System
An AI-assisted workflow for finding, verifying, evaluating, and learning from job opportunities without handing judgment over to the machine.
- The problem
- A high-volume search creates noise, duplicated effort, and decisions that are hard to revisit.
- System
- Separate discovery, verification, evaluation, decision, and learning into an auditable operating rhythm.
- Next Iteration
- Continue improving selectivity, evidence quality, and unattended weekday execution.
03Active
Raspberry Pi AI Server
An always-on home platform for scheduled workflows, health checks, logging, and future privacy-conscious automations.
- The problem
- Useful automations should not require a laptop, illuminated monitors, or a person remembering to start them.
- System
- Move repeatable work into a small, reliable server with clear logs and graceful failure handling.
- Next Iteration
- Continue hardening reliability, strengthen failure notifications, and expand privacy-conscious automations.
Built in the open, shared responsibly. Sensitive job-search, family, home-network, and security details stay private.
Career evidence
Talent Acquisition is the proving ground.
Three examples of building clarity, capability, and momentum in complex hiring environments. That work is the foundation beneath the lab.
01
Genus plc
From unreliable data to credible vacancy intelligence
- The situation
- Vacancy information was not reliable enough to guide recruiting priorities or support confident leadership decisions.
- The work
- Redesigned intake and validation, then established weekly reconciliation across HR, Finance, and site leaders. The workflow created shared ownership and a repeatable way to resolve discrepancies.
- The result
- Vacancy-data accuracy increased from 57% to 99% in one quarter, giving leaders a far stronger operating view.
02
Firestone Building Products / Holcim
Building Talent Acquisition through business change
- The situation
- A major business transition and the integration of six acquisitions created new demands for recruiting capacity, consistency, and coordination.
- The work
- Helped build the TA function while progressing from Manager to Director and strengthening team leadership, vendor workflows, systems coordination, materials, and business partnership.
- The result
- Scaled the TA team from 2 to 10 and created a more consistent recruiting foundation for a changing business.
03
Tractor Supply Company
Improving speed through process, systems, and coaching
- The situation
- A growing store organization needed recruiting operations that could keep pace without sacrificing consistency.
- The work
- Led and coached the recruiting team, strengthened sourcing practices, supported nationwide leadership hiring, and guided two ATS transitions.
- The result
- Improved team time to fill by 48% from 2015 to 2019 while building repeatable workflows recruiters could use.
Capabilities
Strategy that reaches the operating details.
I work across the seams where recruiting, finance, operations, HR, systems, and leadership all need to agree on what happens next.
TA strategy & operating models
Hiring priorities, recruiter capacity, service expectations, operating rhythms, and practical transformation roadmaps.
Recruiting data & analytics
Vacancy governance, data quality, source tracking, time-to-fill visibility, offer metrics, and business-facing reporting.
Structured hiring
Role intake, calibration, structured interviews, scoring, debriefs, and more defensible candidate evaluation.
Leadership & enablement
Recruiter coaching, hiring-manager expectations, stakeholder accountability, and executive communication.
Sourcing & market intelligence
Passive pipelines, competitor mapping, specialized search, university partnerships, and intentional agency use.
Systems & workflow
Experience across iCIMS, Dynamics 365, LinkedIn Recruiter, Power BI, ADP / Virtual Edge, and connected TA workflows.
Experience
Where I’ve contributed.
A career that began in third-party agency recruiting on straight commission, then expanded across corporate, production, technical, frontline, and leadership hiring. My work expanded from individual execution to function building and transformation.
Most recent
Genus plc
Global Talent Acquisition Senior Manager
Led work across recruiting strategy, vacancy data, process improvement, structured hiring, sourcing, systems, and stakeholder expectations in a complex global business.
Leadership
Firestone Building Products / Holcim
Director & Manager, Talent Acquisition
Helped build TA capability through business transition, acquisition integration, and increased hiring demand.
Partnership
Bridgestone Americas
Senior Talent Acquisition Partner
Partnered with business and HR leaders on complex hiring, pipeline development, and recruiting strategy across multiple groups.
Operations
Tractor Supply Company
Manager, Recruiting, Stores
Led recruiting operations, coached recruiters, supported nationwide leadership hiring, and improved processes and systems.
Process should earn its place. The goal is a hiring system the business can trust.
About
People, systems, and business priorities.
I’ve spent my career helping organizations move from reactive recruiting toward a more disciplined way of hiring: reliable data, clear priorities, capable recruiters, accountable hiring managers, and decisions people can explain.
I value direct communication, practical solutions, and process that solves a real problem, not process theater.
Adam's AI Lab is a natural extension of that work: a place to test how AI and automation can support better operating systems while keeping evidence, privacy, and human accountability intact.
My operating principleBe the best today. How can we be better tomorrow?
MBA
University of Kansas
BA, Spanish
University of Tennessee · Universidad de Valencia
Start a conversation
Let’s make complex work better.
If you’re improving Talent Acquisition, exploring responsible AI enablement, or need someone who can connect strategy to operating details, I’d welcome a conversation.
Connect on LinkedIn