Data operations & governance
End-to-end ownership of how data is collected, validated, reconciled, and monitored.
Philippines · Remote · North America coverage
Alfred Ocampo Data Operations Manager
Results-driven data operations leader: distributed teams, governance and QA at scale, and cross-functional programs that improve accuracy, turnaround, and customer outcomes across parking and mobility metadata.
Available for consulting
English · Tagalog
About
Operator, strategist, hands-on builder
With 18+ years in technology since 2008, I have moved from individual contributor work in location data through analytics, project delivery, and people leadership—always with an eye toward measurable quality and continuous improvement.
Versatile and adaptable: I translate business goals into operational plans, QA frameworks, and training systems teams can actually run day to day.
Today I focus on data governance, process optimization, and cross-functional collaboration—especially where product, engineering, support, and partnerships depend on the same trusted location metadata.
Professional summary. Results-driven Data Operations Manager with extensive experience leading distributed teams, optimizing data workflows, and delivering high-quality operational outputs at scale—spanning audits, KPIs, documentation, and stakeholder communication.
Core strengths.
- Data operations & governance
- Quality assurance & audits
- Workflow design & performance management
- Ground truthing & field collection programs
- Cross-system parity & discrepancy resolution
Skills
Practice areas & stack
A blend of leadership, data-quality operations, analytics tooling, and hands-on engineering for collection and integration workflows.
Leadership & delivery
Scaling remote teams, coaching leads, and keeping programs aligned to business outcomes.
Data & analytics
From warehouse models to dashboards stakeholders use weekly.
Engineering, tools & platforms
Practical automation for collection, integration, and quality at volume.
Experience
Career timeline
Remote delivery across North America—parking inventory, mobility platforms, and data programs spanning collection through analytics and leadership.
Data Operations Manager — FlashParking
Lead and scale a remote Data Operations team supporting parking location metadata across North America.
- Define operational strategy for collection, validation, and enrichment aligned to product, engineering, and partners.
- Design workflows that improve turnaround time, accuracy, and consistency—backed by KPIs, QA frameworks, and audits.
- Partner with Product, Engineering, Support, and Partnerships to align initiatives to business objectives.
- Mentor team leads and specialists through coaching, performance reviews, and continuous improvement plans.
Key outcomes. Higher data accuracy via standardized QA; clearer ownership and faster execution through refined workflows; repeated success on high-impact, cross-department initiatives.
Project Manager — ParkWhiz / Arrive
Planned and executed data-focused projects with large datasets, tight deadlines, and cross-team coordination (via outsourcing partner structure).
- Owned end-to-end lifecycles: scoping, timelines, risk management, and delivery.
- Clarified requirements with stakeholders and monitored metrics to drive process improvements after delivery.
Team Leader — BestParking
Led data specialists responsible for parking data accuracy and completeness—bridging frontline execution and management.
- Coaching, training, and structured performance evaluations.
- Implemented QA checks and productivity benchmarks to lift output quality.
Data Entry Specialist — BestParking
Collected, validated, and maintained parking location data from multiple sources—pricing, hours, rules, and metadata for consumer-facing experiences—meeting/exceeding productivity and quality benchmarks.
Earlier roles (2008 – 2021)
Progressive responsibilities across ParkWhiz, Arrive, and BestParking prior to the roles highlighted above—including analytics, project management, customer operations, QA, team leadership, aggregation, and early-stage geospatial mapping.
- Analytics, reporting, and dataset QA for marketplace and operations decisions.
- Field-to-web quality programs, test execution, and bug lifecycle management with engineering.
- Large-scale location research, standardization, and inventory expansion from early mapping work onward.
Projects
Selected initiatives
Representative programs spanning BI, field operations, mobile collection platforms, workforce scaling, and location-data engineering—summarized for a hiring manager scan.
Data parity & discrepancy management
Built a discrepancy reporting program in Looker to keep Fulcrum, Admin, and Redshift aligned—with priority hierarchy logic, automated detection, and operational reconciliation workflows.
SQL
Looker
Redshift
Fulcrum
Multi-city ground truthing
Led on-street ground truthing across major metros (including Washington DC and Philadelphia MSA)—remote collection teams, QA protocols, and end-to-end field operations on mobile platforms.
Field ops
QA checklists
LPR coverage mapping
MSA strategy
Fulcrum customization & training
Custom data-event scripts, field configurations, and onboarding curriculum for Android/iOS—including exports, walkthroughs, and SOPs for reliable field collection.
JavaScript events
Mobile config
Training docs
Data operations scaling strategy
Roadmapped team scaling—including Upwork hiring pipelines, performance recognition programs, and operational excellence initiatives—while protecting data quality standards.
Hiring
Metrics
Knowledge management
Geocoding & reverse geocoding pipelines
Large-scale address ↔ coordinate workflows with multi-provider fallbacks (Google, Mapbox, OpenStreetMap), batch processing, and validation for difficult addresses.
API integration
Batch jobs
QC
Web data acquisition & labeling
Automated scraping pipelines (Python: BeautifulSoup, Scrapy, Selenium), Google Maps / Places extraction, and structured labeling programs for ML datasets—with QA, inter-annotator agreement, and tooling configuration.
Python
APIs
ML prep
Highlights
Domain depth
Mobility & location data
Arrive powers branded and white-labeled last-mile mobility—parking and related services through app, voice, and in-dash experiences for drivers, fleets, and partners across North America.
My work sits at the intersection of master location data, data quality operations, and cross-system integration (including RCS/LPR adjacent datasets, admin platforms, and warehouse analytics).
Areas of specialization
- Location data management for parking, POIs, and geography
- Ground truthing and field QA at metro scale
- Cross-system parity, reconciliation, and monitoring
- Remote team leadership for distributed collection & ops
- Scalable documentation, playbooks, and training assets
Hands-on execution with leadership accountability—systems that are teachable, auditable, and easy to improve under growth.
— How I approach operations
Credentials
Education & training
Education
Imus Computer College
Diploma / coursework in Computer Programming
Certifications
- Confluence Fundamentals Badge
- Cybersecurity Awareness Training
Languages
English · Tagalog
Contact
Let’s connect
Available for consulting and project-based work—especially data operations strategy, governance programs, team scaling, location/mapping initiatives, and cross-system integration.
Preferred engagements: data quality & governance, field operations, BI delivery, and process optimization with remote teams.
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