Senior AI Business Analyst Operations

Banyan Software is the best permanent home for software businesses that serve specialized industries their employees and their customers. We are on a mission to acquire build and grow great companies worldwide helping them modernize through shared AI expertise and operational discipline. The Banyan Software Foundation endowed with $100 million in Banyan stock leverages technology to build a greener and more equitable world. Banyan is Great Place to Work Certified a five-time Inc. 5000 honoree and a top 10 company on the Deloitte Technology Fast 500. Founded in 2016 and headquartered in Atlanta Banyan operates more than 100 portfolio companies across North America the UK EU and APAC.

We are hiring a Senior Business Analyst AI & Data Science to serve as an embedded business partner to one of our internal functional teams. You will be assigned to a single functional vertical at hire: Finance M&A Business Development Human Resources Legal or Operations. You will spend your days inside that team learning their workflows surfacing high-value AI and data science opportunities and shipping work that makes them faster sharper and more effective.

You will report into our central AI & Data Science team and work day-to-day alongside the leaders and operators of your assigned vertical. Think of yourself as a translator and a builder: fluent in the functions metrics and mechanics fluent in what modern AI and data science can do and trusted by both sides to bridge the two.

This is a hybrid role that blends three jobs all applied inside your assigned function:

• AI strategist: identify prioritize and build the business case for AI and data science use cases that move the functions KPIs.
• Data science translator: bridge functional stakeholders and technical AI and data resources. Scope models and tools then interpret outputs in clear decision-useful terms.
• Operations partner: help the function operationalize AI and data tools in their workflows drive adoption and measure real impact.

• Embed inside your assigned function (Finance M&A Business Development Human Resources Legal or Operations). Learn its data systems KPIs and pain points well enough that the team treats you as one of their own.
• Identify and prioritize AI and data science opportunities that move the functions metrics. Sequence them by impact effort and risk.
• Build clear ROI-driven business cases for each opportunity. Define success metrics sensitivities and what would make the work fail.
• Translate business problems into well-scoped requirements for our AI and data science engineers. Translate model and tool outputs back into decisions the function can act on.
• Partner with the functional leader on roadmap and prioritization. Help them say yes to the right work and no to the rest.
• Drive adoption of AI and data tools inside the function. Train end users design new workflows and measure usage and outcomes after launch.
• Define and track KPIs for every initiative you support including model performance adoption time saved decision quality and dollar impact.
• Stay close to the AI and data science landscape including LLMs agentic systems and modern analytics tooling. Bring a clear well-reasoned point of view to the team.
• Share what works across the AI & Data Science group so other functional partners benefit from your patterns and pitfalls.

Your day-to-day will depend on the function you join. A few illustrative examples:

• Finance: automate close and reporting tasks build forecasting and scenario models surface working capital and cost insights build self-serve analytics for finance leadership accelerate management reporting cycles.
• M&A: build sourcing and pipeline analytics develop scoring models for inbound and outbound targets structure and enrich the deal database automate market mapping and competitive research support deal teams with data-driven insights.
• Business Development: build lead scoring and prioritization models analyze outbound campaign performance automate research workflows develop dashboards for pipeline health surface signals that predict engagement and conversion.
• Human Resources: build workforce and attrition analytics model hiring funnel performance and time-to-fill benchmark compensation surface engagement and sentiment insights and automate repetitive HR operations.
• Legal: automate contract review and clause extraction with LLMs surface risk flags across the contract portfolio build matter and legal spend analytics and speed up vendor and NDA workflows.
• Operations: analyze process throughput and cycle times forecast capacity and demand model vendor and supplier performance automate ticket and queue triage and build dashboards that keep operational KPIs visible.

• 6 to 10 years of experience as a business analyst strategy consultant FP&A or finance analyst BD or M&A analyst product manager or data science partner. At least 3 of those years involved AI ML or data science work.
• A bachelors degree in a quantitative business or technical field. A masters degree is a plus not a requirement.
• Working knowledge of machine learning concepts model evaluation data quality and the limits of AI. You do not need to train models. You do need to know what is possible what is hard and what is risky.
• Strong comfort with SQL and a working familiarity with Python or R for data exploration. Strong Excel and modern BI tools (Looker Power BI Tableau or similar).
• Strong financial and business acumen. You can build a credible business case in a spreadsheet and explain it clearly in a one-pager.
• Excellent communication skills. You can explain a model to an executive and translate an executives question into a well-scoped piece of analysis or model.
• Track record of being trusted by a non-technical functional team. People you have partnered with want to work with you again.
• Curiosity judgment and humility. You ask good questions push back when needed and stay genuinely interested in the work of the people you support.

• Direct experience inside Finance M&A or Business Development. Bonus for software SaaS or vertical market software environments.
• Hands-on work with LLMs retrieval systems or agentic workflows applied to internal operations.
• Prior experience as an embedded analyst or business partner rather than a member of a fully centralized analytics team.
• A track record of measuring AI or data science ROI in production not just in pilots.

• Real ownership of a functions AI agenda. You will not be a ticket-taker on a centralized data team.
• A long-term horizon. We do not optimize for the next quarter so the work you ship can compound.
• A team that treats AI as a serious capability not a buzzword. We have already built internal AI tooling we use every day.
• A culture of accountable autonomy. We trust you to do the work.
• Competitive compensation benefits and meaningful long-term upside.

Send your resume and a short note about a time you brought AI or data science into a functional teams workflow. Tell us the impact what made it hard and what you would do differently next time.

If you have a preference between Finance M&A Business Development Human Resources Legal and Operations let us know. We will assign the vertical based on fit and team need and we want to hear how you think about it.

We look forward to hearing from you.

Diversity Equity Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams associates our Operating Companies and the communities we serve. As a collective our goal is to impact lasting change through our actions. Together we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic including race color genetic information creed national origin religion sex affectional or sexual orientation gender identity or expression lawful alien status ancestry age marital status or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit qualifications experience ability and job performance.

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