Campbell Global, Forest Biometrics Manager, VP

Description

Campbell Global, a subsidiary of J.P. Morgan, is a global investment manager specializing in forestland. Based in Portland, Oregon, Campbell Global manages timberland assets and supports acquisition and disposition activity across U.S. and international regions.

• Participate in setting direction and protocols for forest inventory data collection and inventory modeling; ensure inventory systems and measurements provide accurate information for operational and investment decision‑making.
• Lead maintenance and enhancement of growth & yield models for use in inventory updates, harvest planning, carbon strategy, and operational planning.
• Participate in the company’s carbon accounting initiatives and support annual reporting requirements.
• Support carbon project development, monitoring and verification; provide technical oversight and internal project leadership for carbon project inventory data collection, monitoring, and reporting.
• Provide leadership in the development of remotely sensed inventory models and support the application of remote sensing in inventory systems where relevant.
• Support acquisition initiatives through inventory verification design, review/processing of seller‑provided inventory data, due diligence participation, and decision support across U.S. and international regions and transaction types.
• Represent the company in silviculture, tree‑improvement, modeling, and other research co‑ops; partner with operations staff to transfer research into practice.
• Respond to internal/external information requests and ensure timberland management investment services are met in a timely and professional manner.

• MS degree in Forestry with a concentration in biometrics or statistics and 3+ years related experience, or equivalent combination of education/training/experience.
• Strong research and analytical skills; excellent written and verbal communication; strong interpersonal skills; ability to collaborate across disciplines and locations.
• Working knowledge of forest inventory techniques and/or growth modeling/projection techniques used in the forest industry.
• Experience with GIS and relational databases for querying, analysis, and reporting.
• Programming capability in a structured language (e.g., R preferred, Python).

• Demonstrated background in carbon-focused measurements and accounting methods.
• Experience with remote sensing applications in forest inventory systems.
• Familiarity with voluntary and compliance forest carbon offset protocols in the U.S. and internationally.