Harrison Street is seeking to hire a Content Specialist within the Innovation Department, reporting to the Chief Innovation Officer. This individual will be responsible for capturing, structuring, and maintaining the Firm's institutional knowledge as it is translated from human expertise into AI-enabled systems. The Content Specialist will extract insights from professionals across the organization and convert them into high-quality inputs that inform the development and continuous improvement of proprietary AI models. In addition, this role will support the development of internal and external-facing materials, including case studies and narrative content, that highlight the Firm's use of AI tools and techniques for key stakeholders.
Responsibilities:
- Aid in capturing, documenting, and structuring institutional knowledge from subject matter experts across the Firm, including investment, asset management, portfolio management, and Impact teams
- Ensure consistency, clarity, and accuracy in all documented materials
- Help build and maintain a living knowledge architecture that serves as the foundation for the Firm's AI models
- Transcribe and summarize notes from key management, investment, and strategy meetings
- Work with the Chief Innovation Officer to identify recurring themes, insights, and decision logic across discussions and initiatives
- Organize and maintain a searchable, well-structured knowledge base that preserves the Firm's collective institutional judgment
- Work closely with engineering and data teams as AI models are trained, tested, and refined
- Assist in updating and curating content as models evolve and new insights are generated
- Serve as a quality bridge between human expertise and machine interpretation, ensuring fidelity between what professionals know and what models learn
- Assist the Chief Innovation Officer in developing marketing and communications materials related to the Firm's AI strategy and applications
- Draft case studies, internal briefings, and stakeholder-facing narratives demonstrating the practical use of AI tools and techniques
- Support broader firm-wide storytelling around innovation and institutional knowledge, helping articulate the Firm's differentiated approach to AI in investment management
Institutional Knowledge Capture & Documentation
Meeting Transcription & Synthesis
AI Model Collaboration
Thought Leadership & Communication Support
Requirements:
- Bachelor's degree in Communications, Marketing, Journalism, English, or a related field
- 1–3 years of experience in writing, content development, research, marketing, or communications
- Exceptional writing, editing, and synthesis skills, with the ability to translate complex ideas into clear, structured content
- Strong organizational skills and attention to detail
- Interest in AI, knowledge management, and emerging technologies (direct technical experience not required)
- Prior experience in financial services, investment management, or real estate
- Familiarity with AI/ML concepts, large language models, or knowledge management systems
- Experience with transcription, interview-based research, or qualitative data synthesis
- Synthesis & Translation - Ability to distill complex investment and technical concepts into clear, accessible, and actionable content
- Intellectual Curiosity - Genuine interest in learning how AI systems work and how institutional knowledge can be encoded into intelligent models
- Precision & Fidelity - Meticulous attention to detail; commitment to ensuring documented content accurately reflects expert judgment
- Storytelling - Strong narrative instincts with the ability to craft compelling content for both internal and external audiences
Preferred
Competencies
Skills Required
- Bachelor's degree in Communications, Marketing, Journalism, English, or a related field
- 1-3 years of experience in writing, content development, research, marketing, or communications
- Exceptional writing, editing, and synthesis skills, with the ability to translate complex ideas into clear, structured content
- Strong organizational skills and attention to detail
- Interest in AI, knowledge management, and emerging technologies (direct technical experience not required)
- Prior experience in financial services, investment management, or real estate
- Familiarity with AI/ML concepts, large language models, or knowledge management systems
- Experience with transcription, interview-based research, or qualitative data synthesis
What We Do
Harrison Street is one of the leading investment management firms exclusively focused on alternative real assets. Since inception in 2005, the firm has created a series of differentiated investment solutions focused on demographic-driven, needs-based assets. The firm has invested across senior housing, student housing, build-to-rent, healthcare delivery, life sciences and storage real estate as well as social, utility and digital infrastructure. Headquartered in Chicago and London, with offices throughout North America, Europe and Asia, the firm has more than 290-employees and approximately $55 billion in assets under management. Clients of the firm include a global institutional investor base domiciled in North America, Europe, Middle East, Asia and Latin America. Harrison Street was awarded Best Places to Work by Pensions & Investments for ten years (2014-2020, 2022-2024) and since 2019 has won 15 awards from PERE, including three for the 2023 Awards: Alternatives Investor of the Year – Global, Data Centers Investor of the Year – North America, and ESG Firm of the Year - North America. Harrison Street did not pay any compensation in exchange for the aforementioned awards. For more information, please visit www.harrisonst.com. Assets under management ("AUM") reflects AUM for the Firm’s investment advisory and asset management clients. The information contained on this site is for informational purposes only and should not be considered as investment advice or as a recommendation of any particular strategy or investment product. This profile should not be considered as a solicitation for services *As used in this website, unless the context otherwise requires, "Harrison Street," “HSRE”, “HS” or the "Firm" refers collectively to Harrison Street Real Estate Capital LLC, its subsidiaries, including Harrison Street Advisors.
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