THOMAS RIECKEN
Oak Harbor, WA 206-***-****
**********@*****.*** linkedin.com/in/tomriecken
SENIOR TECHNICAL PRODUCT MANAGER
Bridging Data, Systems, & People to Drive Enterprise-Scale Transformation Strategic and adaptable leader with extensive experience in data management and analytics, specializing in major information system transformations. Known for aligning business goals with scalable solutions by partnering across engineering, leadership, and vendor teams. Natural communicator and systems thinker, fostering clarity amid complexity while aligning teams to deliver lasting impact. Provides a blend of analytical rigor and technical creativity to product management, data governance, and large-scale infrastructure initiatives. Recognized for a strong sense of ownership, mentorship, value-discovery and passion for keeping customer delighted.
− Data Governance & Data Stewardship − Data Ingest – Extract, Load & Transformation
− Financial Reporting & Budget Forecasting − Advanced Data Modelling (Kimball, Data Vault)
− Program Planning & Performance Management − Real-Time Data Integrations & Master Data Mgmt.
− Process Improvement & Value Stream Mapping − Industry 4.0 Transformation – All Levels ISA95
− Critical Path Analysis & Schedule Optimization − Vendor Management & Solution Architecture
− Agile/Scrum/SAFe Planning & Execution − JIRA Work-Breakdown-Structure aligned to OKRs
− Requirements Management (ISO25010, Arc42) − Configuration-as-Code Best Practice (CI/CD) Work Experience
RTX (FORM. RAYTHEON TECHNOLOGIES) - ENTERPRISE DATA SERVICES 07/2022 - 05/2025 Major aerospace and defense company, comprised of Raytheon, Collins Aerospace, and Pratt & Whitney. SENIOR TECHNICAL PRODUCT MANAGER
Served as a product leader within the Data Services organization, focused on enterprise ‘Pathfinder’ programs for digital transformation. Delivery of customer solutions enabling cost savings and enterprise technology modernization.
• Led Data Governance pilot for Raytheon, delivering 400 business terms mapped to 12K data elements.
• Aligned product scope for predictive-quality machine-learning solution, realizing annual value of $2M (EAC).
• Delivered value-stream assessment for 12 primary personas as part of Industry 4.0 / Smart Factory initiative.
• Benchmarked capabilities for knowledge graph and ontology tools across the enterprise, optimizing effectiveness
• Executed Scaled Agile processes to define work scope for engineering staff across quarterly planning and sprints
• Owned multiple key performance indicators (KPIs) for data platform maturity, tracking 300+ data environments BLUE ORIGIN - ENTERPRISE DATA MANAGEMENT & ANALYTICS 08/2018 - 07/2022 Dedicated to expanding human presence in space through launch services and suborbital tourism. TECHNICAL PRODUCT MANAGER
Provided direction during a period of rapid organizational growth. Trained coworkers, enabled customers and managed vendors to accelerate platform modernization and ship hardware destined for space. Functioned as the “glue” between business units, software developers, business SMEs. No technical challenge sat unanswered.
• Delivered major infrastructure solutions for external customers and federal contract partners worth $BB
• Provided technology roadmaps and hiring support as the team scaled 10x headcount in 2 years
• Enabled hundreds of analytics customers across rocket design, manufacturing and flight-test operations
• Codified a network of subject-matter-experts to rapidly deliver answers via office hours and the service desk
• Spawned major initiatives to decode complex PLM software, building a semantic access layer for 100K+ parts
• Coordinated data integration of 50+ microservices within the MES & MRP software ecosystems
• Launched the first quarterly planning cycle with customer communications, JIRA Plans and personal OKR’s
• Managed relationships with 40+ data providers, including 10 major COTS / SAAS platforms
• Provided onboarding & coaching for new team members, guiding their development and work assignments
• Reviewed tool capabilities from Gartner and Forrester to periodically score platform architecture modernity
• Drove multiple communication channels, with product updates, leadership memos and team on-sites
• Championed technical excellence with configuration-as-code and inner-source software development BUSINESS INTELLIGENCE ANALYST
• Directly authored data migration scripts in Python to migrate the legacy HRIS data into Workday
• Produced a mission-critical procurement solution for a major rocket system, utilizing PLM and IMS data
• Supported the rollout of Airflow, with containerization and continuous integration (CI/CD) release steps
• Wrote ETL code for data from hundreds of sources: multiple SQL dialects, RESTful services, and NoSQL systems UNIVERSITY OF WASHINGTON - EARTH & SPACE SCIENCE DEPARTMENT 03/2016 - 08/2018 BUDGET FISCAL ANALYST
Provided trustworthy record-keeping and services for procurement, salaries, grants, student award funds and class lab budgets. Discretionary funding, fed by overhead on grant programs, required continual audit and balancing. Working closely with the head administrator and department chair, budgets stayed on-track for the state biennium.
• Created budget projections and expense analysis for grants, state budgets, and revenue-based labs
• Scrutinized costs, finding duplicate encumbrances and commitments to save $400K
• Managed a financial database tracking $10M across 200+ department budgets, in Access & SQL Server
• Ran financial services for 'Washington State Space Grant' and 'Puget Sound Seismic Network'
• Built data extracts from the central finance database to automate dozens of auditing tasks
• Created and maintained web forms and Excel workbooks for NASA and NSF grant applications
• Billed hundreds of worldwide clients for lab services, tracking delinquent invoices from international clients
• Coordinated large wire transfers between government agencies, journal publications and endowments Education
Bachelor of Science (BSc), Astronomy & Physics, University of Washington Technical Skills
Platform Engineering Airflow, Apache Kafka, AWS, Azure, Databricks, Delta Lake, dbt, Docker, DuckDB, ELK Stack, Fivetran, GCP, Git (GitHub, GitLab), Immuta, Informatica Axon, Kubernetes, Matillion, MongoDB, Mulesoft ESB, Okta, OneTrust, Pandas, Power BI, Python, Rancher, Redshift, SailPoint, Snowflake, SQL (MySQL, PostgreSQL, SQL Server), SSIS, Tableau, Terraform, Trino, VBA, WebSockets Workflow Tools Adobe (Illustrator, InDesign, Photoshop, Premiere), Airtable, Canva, CI/CD, Confluence, Cursor.AI, Figma, GPT(OpenAI, Anthropic), JetBrains IDEs, Jira, Lovable.dev, Midjourney, Microsoft Office, Microsoft Project, Notion, Obsidian, Primavera P6, Replit, Visio, Visual Studio, Windsurf Delivery Frameworks Arc42, DCAM/DMBOK, Gemba, HLA, ISA95, ISO25010, ISO27001, ITSM/ITIL, Kaizen, Objective Key Results (OKRs), Scaled Agile/SAFe, Six Sigma, SIPOC, TOGAF/DODAF