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** We will only consider applicants who are currently residing in South Florida**

About MMG

MMG Equity Partners is a Miami-based, family-led real estate investment and development platform with a portfolio of retail shopping centers across South Florida. Beyond the real estate business, MMG operates a private family office that manages investments, insurance, and financial reporting across multiple entities and family members. MMG separately owns Tamarack Resort in Idaho. We are a flat, fast-moving organization where you will work directly with principals — not layers of management.

This is a ground-floor role. We are building the function from scratch. The right person will define what AI means at MMG, then build it.

The Role

The Director of AI Initiatives & Adoption is responsible for identifying, implementing, and managing AI tools and systems that meaningfully improve how MMG operates across real estate and family office functions. Every project you take on must connect to a business outcome — faster decisions, better data, more deals, reduced overhead.

You will own four things: identifying where AI creates real value at MMG, building or procuring the tools to capture that value, driving adoption across the team and continuously improving how those tools are used, and ensuring the systems are secure and maintainable. Implementation without adoption is not success.

• Reports to Managing Director
• Direct reports - contractors and freelancers as needed
• Current IT Enviroment - outsourced IT for network support

Current Tech Stack (what you are walking into)

You need to understand these systems deeply. Part of your job is figuring out how to connect them and leverage AI to make us more productive/competitive

What you will work on

Below are four areas where we believe AI creates the nearest near-term value at MMG. You first job is to work with the leaders in each area to assess each, prioritize, and build a 6-month roadmap. In addition to the below, the right individual will identify a myriad of other AI use cases to add value and reduce repetitive tasks.

1. Leasing and Tenant Prospecting

MMG owns retail shopping centers and is responsible for filling vacancies with the right tenants – while we work with third party leasing firms, we wish to supplement their efforts by generating direct leads.

• Design and build AI scraping tools to compile databases of South Florida retailers and service businesses for targeted uses
• Build a tool to identify prospective uses/tenants: given a vacancy (size, location, co-tenancy, demographics), which business types and specific operators are the best candidates?
• Design and build AI-assisted leasing outreach workflow: targeted uses identified for vacancies → database queried → outreach drafted and sent → responses tracked in Dynamics (or other CRM)
• Activate Microsoft Dynamics (or other) as the CRM for online leasing
• Identify tools or workflows to monitor existing tenant health (sales reporting, foot traffic, business review signals) to get ahead of vacancies before they happen
• Identify and implement AI-assisted lease abstracting tool to best fit our environment

2. Real Estate Acquisitions

MMG evaluates potential acquisitions across South Florida. Today this process is manual and dependent on individual knowledge. AI can accelerate every stage.

• Design and build AI scraping tools to compile databases of South Florida real estate owners
• Build an AI-assisted underwriting workflow that pulls property data, comps, and market context into a structured analysis template
• Identify AI tools for market intelligence — rent growth trends, cap rate movements, retail category performance by submarket
• Evaluate AI-powered deal sourcing tools (e.g. CoStar integrations, off-market sourcing platforms

3. Private Family Office

MMG's family office manages investments, insurance, and financial reporting for family members. This is a sensitive area requiring strict data governance — but it also has high-value AI applications.

• Addepar AI integration: explore ways to use AI to generate plain-language investment performance summaries and financial reports from Addepar data, reducing manual reporting time
• Insurance management: build a structured database or AI assistant for tracking insurance policies (G/L, personal property, family member policies) with renewal alerts and coverage gap analysis
• Document intelligence: connect family office files in SharePoint to an AI interface for on-demand retrieval of partnership agreements, tax documents, and legal filings
• Evaluate data governance and access controls for family office data — this is sensitive personal and financial information; AI access must be role-based and audited

IT Infrastructure and Security

You are not a network administrator — we have an outsourced IT firm for that. But you are responsible for AI governance at MMG: ensuring every AI tool introduced into the environment meets a clear security and accountability standard.  Practically, this means:

• Evaluating AI vendors for data handling practices — what data leaves our environment, where it is stored, and how it is used for model training
• Defining and enforcing a data classification policy: what information can be sent to external AI APIs, what must stay on-premise or in private cloud environments
• Working with IT firm to ensure AI tools are deployed within the MS365/Azure security perimeter where possible
• Evaluating the Claude Teams → Claude Enterprise migration and the Microsoft Connector configuration for SharePoint access — specifically, controlling which documents are accessible to AI and by which users
• Vetting any third-party AI integrations (i.e. ZoomInfo, Yardi, etc.) for compliance with firm data policies

Prompt Library & AI Adoption

Building the tools is only half the job. The other half is making sure the team actually uses them — and uses them well. This requires two ongoing responsibilities that most AI roles underestimate.

Prompt Library

You will build and maintain a living prompt library — a curated set of tested, optimized prompts for every recurring AI task at MMG. Examples include: underwriting analysis from a rent roll, lease abstraction for a specific clause type, tenant outreach drafts by use category, and insurance renewal gap analysis. The library lives in SharePoint, is accessible to the full team, and is updated continuously based on user feedback and evolving business needs. A well-maintained prompt library is what turns AI from a tool that one person uses well into a capability that the whole organization depends on.

Adoption Monitoring & Continuous Improvement

You are responsible for whether AI tools actually get used — not just whether they get deployed. This means tracking adoption across the team, identifying where workflows are not sticking, providing training and troubleshooting support to staff using AI tools, and iterating on both the tools and the prompts based on real usage patterns. You will serve as the primary internal resource for the team when they hit limitations or need guidance on how to get better outputs. Deployment without adoption is a sunk cost.

What we are looking for

Required:

• 3–6 years of experience in data, technology, or AI — ideally in a context where you had to figure things out without a large team around you
• Hands-on experience with AI tools and LLM platforms — not just using them, but building workflows, prompts, and integrations on top of them
• Demonstrated ability to connect AI capabilities to specific business outcomes (not just technology for its own sake)
• Comfort with the Microsoft 365 ecosystem — SharePoint, Dynamics, Teams, Azure
• Ability to manage and direct contractors and developers without being the one writing all the code
• Non-technical stakeholder communication — you will regularly present AI recommendations, tool evaluations, and implementation roadmaps directly to the principal(s) who are real estate operators, not technologists. The ability to translate AI capabilities into business outcomes (not feature lists) is non-negotiable. If you cannot explain why a tool matters in terms of time saved, deals sourced, or risk avoided, you will not be effective in this role
• In-office presence at Pinecrest HQ is required initially (possible hybrid in the future)

Preferred

• Experience in commercial real estate, property management, or a related field
• Familiarity with Yardi, Addepar, or similar platforms
• Background that includes both technical work (building things) and strategic work (recommending what to build)
• Experience implementing AI in a small-team / resource-constrained environment

Digital Performance Analyst

Bare Home | Forest Lake, Minnesota (On-site)

About Us:

JP Ecommerce (dba Bare Home) has been named one of the top-ten, fastest growing businesses in Minnesota by Inc. 5000 for the past four years in a row. We provide customers with high-quality bedding through our brand Bare Home. As a leading textile retail company, we source premium products from key regions including China, India, Pakistan, and Turkey. Our commitment to excellence has earned us a reputation as an industry leader in sustainable and ethical textile sourcing.

What sets us apart is our entrepreneurial, collaborative environment where team members can quickly see their ideas transform into action. At Bare Home, you’ll experience the satisfaction of ownership over projects, working alongside friendly, dedicated colleagues in a fast-paced setting where no two days are the same.

Position Overview:

We are looking for an analytically sharp and intellectually curious Performance Marketing Analyst to become the go-to resource for performance insights across our entire business. This is not a marketing analyst role — we need someone who can sit at the center of data, tell us exactly what is happening across our channels and content, and guide our paid ad team, content team, and financial analysts toward smarter decisions. You will own A/B testing programs, build dashboards that actually get used, and translate complex multi-platform data into clear, actionable recommendations that move the business forward.

If you love finding the story inside messy data, thrive on solving ambiguous business problems, and want your work to have a direct and visible impact on a $100M+ growing brand — this is your seat at the table.

Responsibilities:

Performance Analysis & Business Intelligence

• Analyze e-commerce performance data across all channels — Amazon, Walmart, Target, Shopify, and owned websites — to identify what’s working, what’s not, and where to act
• Build and maintain Power BI dashboards tracking ROAS, CPA, CVR, CPC, CPM, CTR, LTV, and channel-level profitability for leadership decision-making
• Write and maintain SQL queries to extract, clean, and transform data from multiple platforms and systems into clear, reliable reporting
• Investigate performance anomalies, diagnose root causes, and present findings with recommended action plans — not just observations
• Partner with the Financial Analyst to support pricing strategy, margin analysis, and ROI/ROAS modeling across platforms and promotional events

A/B Testing & Optimization

• Design, execute, and analyze A/B tests across email campaigns, website content, product listings, landing pages, and ad creative
• Translate test results into statistically sound, business-ready recommendations that the content and paid media teams can act on immediately
• Continuously monitor conversion funnels and user behavior to identify optimization opportunities across the customer journey
• Evaluate promotional and pricing strategy effectiveness through structured testing and post-analysis

Paid Media & Channel Support

• Work directly alongside the paid ad team to provide data-driven guidance on budget allocation, campaign performance, and audience targeting
• Evaluate platform-specific advertising effectiveness across Google Ads, Meta, Amazon Advertising, Walmart, and Target
• Assess email and SMS campaign performance and recommend segmentation and send strategy improvements
• Monitor and report on competitive landscape data to inform channel and content strategy

Reporting & Cross-Functional Collaboration

• Deliver clear, concise performance reports and dashboards that tell a story — not just a data dump
• Collaborate with marketing, finance, and operations teams to align analytics priorities with business goals
• Present insights and recommendations to leadership in plain language that drives decisions, not debates
• Support financial analysts with ad hoc analysis for pricing, cost, and profitability questions

Qualifications:

Education & Experience

• Bachelor’s degree in Business Analytics, Data Science, Economics, Statistics, Marketing Analytics, or a related quantitative field
• 3–5 years of hands-on experience in an e-commerce analytics, digital analytics, or business intelligence role
• Demonstrated experience working with significant advertising budgets and multi-channel e-commerce platforms

Must Have:

• Excel: Expert-level — advanced formulas, pivot tables, financial modeling, and scenario analysis
• SQL: Proficient — independently write queries to extract, join, and transform data from multiple sources
• Power BI: Advanced — build and maintain dashboards from scratch including data modeling and DAX measures
• A/B Testing: Hands-on experience designing, running, and interpreting tests with statistical rigor
• E-Commerce Platforms: Proficient working knowledge of Amazon Seller Central, Shopify, Walmart Seller Center, or comparable platforms
• Communication: Ability to translate complex analytical findings into clear, actionable narratives for non-technical stakeholders and leadership

Preferred Skills:

• Google Analytics (GA4): Familiar to proficient — traffic analysis, attribution, and conversion funnel reporting
• Klaviyo: Familiar with email/SMS analytics, segmentation, and campaign performance reporting
• BI/Analytics Platforms: Experience with Triple Whale, Northbeam, or similar attribution and analytics tools a strong plus
• Certifications: Google Analytics, Google Ads, or Meta Blueprint certification preferred
• Additional Tools: Familiarity with Tableau, Looker Studio, Google Tag Manager, or Intelligems (A/B testing) is a bonus

To Be Successful in This Role:

• You don’t just report numbers — you know what they mean and what to do about them
• You ask “why” before you ask “what” — and you dig until you find the real answer
• You’re comfortable working across teams and can communicate findings to a paid media manager and a CFO in the same morning
• You hold yourself accountable for the accuracy and quality of your own work
• You thrive in a fast-moving environment where data problems don’t come with a clean brief
• You are a self-starter who can independently prioritize, structure, and execute analysis without constant direction

Important — Local Candidates Only:

We are a 100% on-site team based in Forest Lake/Columbus, Minnesota. We are only considering candidates who currently live in Minnesota or the immediately surrounding area and can reliably commute to our location Monday–Friday. Please do not apply if you are located out of state or outside the region — we are not offering remote work or relocation assistance for this position.

Why Go Bare?

• Competitive salary: $70,000–$90,000 based on experience and demonstrated skill
• Medical, Dental, and Vision Insurance
• Short-Term Disability and Life Insurance
• Paid Family and Medical Leave (PFMLA)
• 401(k) with Company Match
• Paid Time Off and Holidays
• A role where your analytical work is actually seen, used, and credited
• Room for professional growth and advancement within a rapidly scaling organization
• Collaborative team culture where great ideas move fast from concept to execution

Join our talented and motivated team and help shape the future of Bare Home. We offer a competitive salary package, benefits, and the opportunity to make a significant impact on our company’s growth and success.

To apply, please submit your resume and a cover letter detailing your relevant experience — including specific examples of A/B tests you’ve designed, dashboards you’ve built, and analytical work that drove a meaningful business outcome — to or

We look forward to hearing from you!

Bare Home Team

Come Visit us: Bare Home, we strive to create a culture where all people come first. We are committed to attracting and retaining a diverse workforce. Therefore, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Bare Home is an equal opportunity employer, and by doing so, we aim to sustain and promote an inclusive culture that supports future growth for all.