Analyst, Content Specialist, Innovation
Hybrid Chicago Full-time Mid-level Content Creation
Mid-level Content Creation role at Harrison Street. Chicago · full-time · $60,000–$100,000 base.
SalaryStated by Harrison Street
$60,000 – $100,000
Base salary for this role, in USD per year, as published in the posting.
This role, from Harrison StreetOur estimate for the market: $65,000–$109,000
Below the market median of $92,000 for mid-level content creation roles in Chicago.
Worked out from 11 postings that stated pay, median $92,000. Last updated Mar 10, 2026.
Role brief
Growth Roles summary, based on the employer's posting.
What you'll do
- Pull expertise out of investment, asset management and Impact teams, then document it clearly
- Build and maintain a living knowledge base that feeds the firm's proprietary AI models
- Transcribe key strategy and investment meetings, then surface recurring themes and decision logic
- Partner with engineering and data teams as models get trained and refined, keeping human judgment intact
- Draft case studies, briefings and narratives that show how the firm uses AI
What you bring
- A bachelor's degree in communications, marketing, journalism, English or something related
- Between one and three years in writing, content, research, marketing or communications
- Sharp writing, editing and the knack for turning complex ideas into structured content
- Genuine curiosity about AI and knowledge management, though no technical background needed
- Careful organization and an eye for detail
Who this fits
This suits an early-career writer who enjoys interviewing experts and distilling messy knowledge into clean, structured content. You report to the Chief Innovation Officer and act as the bridge between what people know and what AI models learn. The role is based in Chicago on a hybrid schedule. Background in financial services, real estate, or transcription and qualitative research is a plus but not required.
From the employer
Harrison Street Asset Management ("HSAM") is a leading global alternative investment management firm focused on real estate, infrastructure, and credit strategies across North America and Europe. Headquartered in Chicago, Toronto, and London with offices across North America, Europe, Asia and the Middle East, the firm has over $108 billion in assets under management on behalf of institutional investors and registered investment advisors globally.
Founded on a culture of innovation, HSAM is an early mover in alternative real estate and mid-market infrastructure. Today, the firm’s global team, consisting of more than 520 professionals, is committed to creating long-term value through deep sector expertise and forward-thinking strategies.
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