Job descriptionJob Description: Why Onni Capital Most consulting roles put you inside someone else's practice, on someone else's methodology, selling someone else's brand. Here you are building the practice. You start with demand rather than a cold start. Onni's portfolio companies and the businesses Onni Capital acquires need this work, and they will be your first clients. That is a rare position for a new consulting business: real internal revenue while you build external credibility. Onni's name opens doors in the Vancouver and North American real estate industry that a boutique consultancy would spend years earning. Your external market is real estate industry peers and growth companies, and Onni's network reaches them directly. The delivery model is genuinely different. We are building this around AI led delivery with junior analysts, not around leveraged pyramids of billable hours. If you have ever thought consulting economics should work differently, this is a chance to prove it. How We Work
Onni Capital is being designed as a high ownership, low bureaucracy team. We work in small project groups, test ideas quickly, put early products in front of users, and make decisions based on evidence rather than hierarchy. Challenge assumptions and communicate directly Take responsibility for outcomes, not simply produce recommendations Use modern AI tools to work faster and produce better results Share unfinished work early and improve it through feedback Move comfortably between strategic analysis and hands on execution Know when to continue investing in an idea and when to stop Operate effectively without a detailed playbook This is not a role for someone who wants months of consensus building, a rigid job description, or a narrowly defined set of responsibilities. It is for someone who learns quickly, takes initiative, enjoys solving ambiguous problems, and wants to help build something from the ground up. What You Will Do
Build the business Design and implement the operating infrastructure for a consulting business, including scoped statements of work, project setup, time tracking, utilisation reporting, and billing Establish the rate card, including internal preferred rates for Onni entities and external market rates, and work with the Controller on revenue recognition and engagement accounting Define the delivery methodology, including how engagements are scoped, staffed, run, and closed out, and what quality means at each stage Build the internal service catalogue so portfolio companies understand what they can buy and what it costs Own the profit and loss for the technology consulting line, including revenue, utilisation, margin, and cost Sell Own external revenue growth for the practice, including pipeline development, proposals, and closing Build the external client base among real estate industry peers, growth companies, and Onni's network Convert internal relationships into repeatable engagements across the portfolio Structure commercial terms, including scoped engagements, retainers, and outcome based arrangements where appropriate Deliver Lead AI transformation and technology engagements from scoping through delivery, including automation, systems implementation, data and analytics, and digital tooling Run AI implementation inside newly acquired businesses as part of the post close operating plan Staff and direct engagement teams, including Innovation Analysts deployed from Onni Innovation Use every engagement as live training ground for junior analysts on AI led delivery, and build the training approach that makes that work Stay hands on. This is not a role where you only sell and review Standards Document methodologies, tooling, decisions, and operating standards so engagements get faster and more consistent over time Report on pipeline, utilisation, revenue, and margin to Onni Capital leadership Contribute to internal product reviews, demonstrations, and Onni Capital events What You Bring
Six or more years in technology consulting, digital transformation, professional services, or a comparable delivery environment, with genuine ownership of client outcomes Experience running the commercial side of engagements, including scoping, pricing, statements of work, and managing to margin. You know what utilisation means and why it moves Experience building or materially improving the operating infrastructure of a services business, including time tracking, billing, resource planning, or delivery methodology Real depth in AI implementation. You have deployed AI into a business process and can explain what worked, what did not, and what it actually cost Strong technical breadth across automation, systems integration, data and analytics, and modern software tooling. You do not need to be an engineer, but you need to be able to hold your own with one Demonstrated ability to sell. You have originated work, not only delivered it Experience managing and developing junior consultants Strong written communication, with the ability to compress a complex engagement into a proposal an executive will actually read Comfort building something without a playbook, in a business that does not yet have its processes written down High personal standards for accuracy, quality, ownership, and follow through Nice to Have
Experience at a major consulting firm, and an honest view of what parts of that model are worth keeping Experience serving real estate, construction, hospitality, or asset heavy industries Experience working inside a private equity portfolio, delivering value creation work post close Experience with professional services automation tooling, including time tracking and billing platforms Experience founding or leading a consulting practice Familiarity with tools such as Claude, Claude Code, Linear, Slack, Databricks, Microsoft Azure, or similar platforms What Success Looks Like
Success in this role is not measured by engagements started or decks produced. It is measured by whether Panni becomes a business that generates real external revenue and delivers work clients would pay for again. Within the first 90 days: The operating infrastructure exists and is being used: scoped statements of work, project setup, time tracking, utilisation reporting, and billing The rate card is set for internal preferred rates and external market rates, agreed with the Controller on revenue recognition The internal service catalogue is published so portfolio companies know what they can buy and what it costs At least one internal engagement is running properly scoped, tracked, and billed rather than as informal help There is a qualified external pipeline with named prospects rather than a list of ideas Within the first year: External clients are paying market rates for work Panni delivered, with evidence of repeat or referral business The consulting line has a profit and loss you can defend, with utilisation and margin tracked rather than estimated AI implementation work has been delivered inside at least one newly acquired business as part of the post close plan, with measurable outcomes Junior analysts are delivering client facing work at a quality that clients accept, which is the proof the AI led delivery model works Delivery methodology, scoping templates, and quality standards are documented well enough that a new consultant can be productive quickly Portfolio company operators choose to use Panni rather than being told to You have stopped at least one service line or engagement type that was not working, on evidence rather than on sentiment Leadership receives pipeline, utilisation, revenue, and margin reporting they trust without having to ask for it What Makes This Role Different
You will build a consulting business rather than run a service line inside one. In your first year, you may be involved in: Deciding how engagements are scoped, priced, and billed, from a blank page Closing the first external client Panni has ever had Running an AI implementation inside a business Onni acquired three months earlier Building a delivery method that lets a junior analyst produce work that used to take a team Setting the internal rate card and negotiating it with portfolio company operators Reporting revenue and margin directly to Onni Capital leadership Deciding which service lines to keep and which to stop The Onni Capital Experience
Onni Capital is creating a new headquarters in downtown Vancouver designed for builders, founders, investors, product teams, and portfolio companies, not traditional corporate administration. The space is intended to become a home for company creation, collaboration, product demonstrations, investment discussions, founder events, and the broader Onni Capital community. Team members will receive
Direct exposure to senior Onni executives, investors, operators, developers, and founders The opportunity to help launch products and businesses from the ground up Access to Onni's operating businesses, technology resources, real estate portfolio, and investment platform Competitive compensation and a discretionary performance bonus A comprehensive company paid benefits package An annual education and professional development allowance Regular product demonstrations, founder sessions, investment discussions, and team events Free access to a fully equipped gym Friends and family rates across participating hospitality brands Employee discounts at participating restaurants, retailers, fitness providers, and other businesses A generous employee referral program Salary Range: $120,000 About The Company
Onni For over half a century, Onni has been building communities for people to live, work, and play. Our success reflects our commitment to our employees and partners, and our dedication to quality construction, innovation, sustainability, and customer satisfaction. Our expertise expands across North America, with offices in Vancouver, Toronto, Los Angeles, Seattle, Phoenix, and Chicago. AI Use
This role may involve the use of artificial intelligence (AI) tools to support research, analysis, content development, design, reporting, or operational efficiency. Employees are expected to use AI responsibly and in compliance with company policies, data privacy requirements, confidentiality obligations, and applicable laws. All AI-generated or AI-assisted outputs must be reviewed for accuracy, quality, and appropriateness before use. Employees are also expected to disclose when AI tools have been used in the creation of work and must not present AI-generated content as solely their own original work.
#J-18808-Ljbffr
){kind=logo}
