As the Data and Technology Lead Scientist (Lead Scientist), you'll use your expertise and professional network to applying existing or new technologies to generate solutions for resolving the most critical environmental challenges of our time. As part of the Global Science Team, you the bridge technical and conservation practice worlds as you identify technologies from a wide range of sectors for their creative application to the global conservation agenda. You will lead matrix teams of internal and external partners to break down complex problems into manageable steps to drive conservation outcomes. As an expert on the science team, you will be part of shaping a definitive role for creative technology and data analyses into the core of the conservation community.
- Conducts and supports colleagues identifying the opportunities for technology interventions, manages internal and external experts to deliver on the development of the ideas and publishes findings in high-profile outlets for impact
- Stays abreast of the technological advances and shares important findings with team
- Disseminates latest technological knowledge across the WWF network and externally, and in coordination with knowledge management leads
- Works with manager of the WWF Technology Council to advise WWF on trends in emerging technology that could have application to conservation
- Builds and maintains an extensive network of technology professionals and partnerships to activate to advance WWF’s priorities
- Build WWF’s capacity to work effectively in the fast-paced technology in a time of change
- Represents WWF and promotes our technology leadership in conservation
- Travels internationally on a frequent basis to represent WWF at meetings, workshops, conferences, and for the purposes of site visits and/or field-based research
- At least 10 years’ experience leading collaborative technology teams in the design and launch of innovative and disruptive products;
- Broad knowledge and expertise in product management involving big data analysis, machine learning, remote sensing and integrated systems design;
- Ability to work effectively with individuals across cultures and time zones;
- Extraordinary written, oral and strategic communication skills;
- Leadership, vision and creative thinking;
- Demonstrated ability to listen, learn quickly and adapt pro-actively to a challenge; and
- Experience in applying technology to achieve environmental and/or social outcomes a big plus.
- Must be able to travel between 30-50%