Data products · analytics · operating systems

Kyle A. Brogan

I build data products, analytics platforms, and IoT systems that make operations easier to run.

Most of my work sits where messy operations meet data: equipment reliability, retail operations, manufacturing analytics, and the reporting paths leaders actually use.

Azure + Databricks Predictive Analytics IoT + Edge Systems Power BI + Grafana Python + SQL
Selected proof

A few receipts.

The useful details are the mechanism: what changed, what was connected, who used it, and what improved.

Reduced downtime 15%Databricks-backed equipment data model combining service events, operations data, and predictive signals.
Supported 40+ sitesManufacturing analytics applications and ETL systems used across plant-floor and leadership workflows.
Delivered $8M/year savingsCapital and operations initiative delivered four months ahead of schedule.
Built real telemetryLoRaWAN, Raspberry Pi, InfluxDB, Grafana, MQTT, Docker, APIs, and alerting in working side projects.

Retail equipment reliability

Connected machine events, service history, POS and app signals, and reporting paths for distributed laundromat operations. The work helped reduce equipment downtime.

  • Business result: 15% downtime reduction
  • Stack: Databricks, predictive analytics, data modeling
  • Users: operations, maintenance, leadership
DatabricksProduct OpsPredictive Signals

Manufacturing analytics at scale

Directed analytics applications and ETL work across a broad manufacturing footprint, connecting plant-floor data to reporting people could use.

  • Business result: $1.3M generated value
  • Scope: 40+ manufacturing sites
  • Stack: Azure, Python, SQL, Databricks jobs
AzurePythonSQLETL

Hands-on observability systems

Built small systems end to end: edge telemetry, hosted dashboards, persistent APIs, public routes, and operational alerts.

  • Example: lake monitoring from LoRaWAN to Grafana
  • Example: washer alerting with Raspberry Pi and Losant
  • Pattern: sensors → data store → dashboard → action
LoRaWANInfluxDBGrafanaDocker
How I work

Start with the operation, then build the data path.

I like the unglamorous middle: understanding the work, finding the decision that needs to improve, building the data path, and making the result usable for the people running the business.

Hi, I'm Kyle. I'm a technical product and analytics leader with 17+ years across engineering, manufacturing, retail operations, consumer products, and enterprise data. I’m usually drawn to concrete problems: equipment is down, reporting is manual, data is scattered, adoption is lagging, or operators need a clearer way to decide what to do next.

Predictive analyticsequipment, demand, adoption, and operating signals
Telemetry systemsedge data, monitoring, alerting, and dashboards
Data productsroadmaps, usability, adoption, and delivery tradeoffs
Enterprise fitarchitecture, governance, and systems that survive launch
Selected experience

Work that had to hold up in operations.

Scope, systems built, measurable outcomes, and the adoption work required after the demo is over.

Jan 2026 – Present
Cincinnati, OH

Sr. Director, Analytics & Insights | The Gorilla Glue Company

Analytics leadershipConsumer insightsUnified data platform
  • Lead the analytics and consumer insights functions supporting both the Gorilla and O'Keeffe's brands.
  • Provide enterprise-grade data science and reporting capabilities across functions.
  • Translate AI and analytics use cases into practical adoption paths, governance, and delivery priorities.
  • Architect and build new Unified Data Platform capabilities.
Aug 2023 – Dec 2025
Cincinnati, OH

Managing Director – Tide Laundromats | Procter & Gamble

15% downtime reduction70% app adoptionDatabricks data product
  • Built a Databricks-backed data product approach for machine events, service history, and operating signals, reducing equipment downtime 15%.
  • Led IoT, POS, and mobile app deployments with 70% consumer app adoption rate.
  • Established technology strategic roadmap in collaboration with the executive team.
  • Led market research initiatives and strategy to prioritize product features and inform staffing decisions.
  • Built automated inventory and demand pipelines that replaced manual reporting and gave operators clearer daily views of stock position and replenishment risk.
Apr 2020 – Aug 2023
Cincinnati, OH

Senior Product Manager - Manufacturing Analytics | Procter & Gamble

40+ sites$1.3M generated valueAzure + Python + SQL
  • Directed analytics applications and ETL transformations across 40+ manufacturing sites, generating $1.3M in value.
  • Built Azure-based data pipelines with Python, SQL, and Databricks jobs for scalable cloud architecture.
  • Created AI and data literacy training across the Fabric Care organization.
Oct 2016 – Apr 2020
Cincinnati, OH

Senior Innovation Manager - Manufacturing Software | Procter & Gamble

Remote operations centerUnity3D applicationRealtime analytics
  • Technical Product Manager building a next-generation manufacturing monitoring application in Unity3D.
  • Developed a remote operations center for advanced troubleshooting and manufacturing line KPI tracking.
  • Built analytics platform integrations for realtime statistical monitoring, helping teams spot line issues earlier.
Dec 2012 – Oct 2016
Cincinnati, OH

Senior Manager - Fabric Care Initiatives | Procter & Gamble

$1M–$15M capital scope$8M/year savingsCEO Award
  • Led multi-million dollar regional capital initiatives for the Tide, Downy, and Bounce brands.
  • Delivered an $8M/year savings project, 4 months ahead of schedule.
  • Identified and executed $4M in capital cost avoidance work, and was awarded a P&G CEO Award.
Oct 2010 – Dec 2012
Cincinnati, OH

Lead Process Engineer - Downy Manufacturing | Procter & Gamble

$15M capital spendPlant leadershipLima Dream Award
  • Lead technical engineer on nearly $15M in capital project spend.
  • Awarded the Lima Dream Award for successful integration of global equipment with local operations.
  • Named to the plant leadership team as a representative for young leaders.
Hands-on systems

Small systems I actually built.

Sensors, APIs, dashboards, game loops, MCP tools, Docker services, and public endpoints. Small enough to inspect. Real enough to keep running.

Capability map

Technical range, without the keyword pile.

The useful split is hands-on tools, architecture patterns, and business domains where the work creates leverage.

Education

Purdue University

B.S. Mechanical Engineering — 2008.
Specialization: Computational Fluid Dynamics, Heat and Mass Transfer.

Operating edge

Mechanical-engineering roots still shape the operating style: understand the physical or business system, instrument the constraint, ship a useful mechanism, and keep improving it with evidence.

Contact

Talk to me about the operating problem.

I’m most useful where operations, data, and product delivery overlap: analytics platforms, IoT telemetry, manufacturing systems, adoption strategy, and reporting that has to hold up after launch.