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How much do small business jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for small business in Springfield, MA is $22.96, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.04 per hour, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of someone running a small business?

As a Small Business Owner, your daily responsibilities often include managing finances, overseeing staff and operations, handling customer interactions, and making key decisions about inventory, sales, or services. You may also spend time developing marketing strategies, handling administrative tasks, and ensuring compliance with regulations. The role requires adaptability, as priorities can change quickly based on business needs. Collaboration with vendors, customers, and team members is common, making strong communication skills essential. This hands-on, dynamic environment provides significant variety and opportunities to make an immediate impact on your business’s success.

What is a Small Business job?

A Small Business job typically involves managing or working within a small company, often with fewer than 500 employees. Roles can vary widely, including ownership, management, marketing, finance, and operations. Employees in small businesses often wear multiple hats, handling diverse responsibilities to help the business grow. These jobs require adaptability, problem-solving skills, and a strong understanding of the industry.

What are the key skills and qualifications needed to thrive in the Small Business position, and why are they important?

To succeed as a Small Business Owner, you need strong financial management, marketing, operations oversight, and leadership abilities, often supported by relevant business degrees or entrepreneurship courses. Familiarity with accounting software, POS systems, and digital marketing platforms is highly beneficial. Excellent problem-solving, adaptability, resilience, and interpersonal skills help set exceptional leaders apart in this role. These skills enable a small business to operate efficiently, adapt to changing markets, and foster successful relationships with customers and employees.

What are the most commonly searched types of Small Business jobs in Springfield, MA? The most popular types of Small Business jobs in Springfield, MA are:
What are popular job titles related to Small Business jobs in Springfield, MA? For Small Business jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Small Business jobs in Springfield, MA look for? The top searched job categories for Small Business jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Small Business jobs? Cities near Springfield, MA with the most Small Business job openings:
Small Business jobs near you
Infographic showing various Small Business job openings in Springfield, MA as of July 2026, with employment types broken down into 71% Full Time, 17% Part Time, and 12% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $47,764 per year, or $23 per hour.

AVP Applied AI, Small Business

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

57th of 299 rated insurance

Job description

AVP Data Science - GD05AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning, and agentic AI capabilities supporting The Hartford's Business Insurance. This role partners closely with underwriting, product, actuarial, and technology leaders to deliver scalable, production ready models and -AI driven- decision systems that support complex risks, bespoke products, and profitable growth across specialty markets.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities:
  • Own delivery, performance, and risk outcomes for one or more large, complex Applied AI portfolios spanning multiple teams, domains, or value streams. Translate enterprise and Small Business AI priorities into multi-year portfolio roadmaps and investment plans.
  • Ensure applied AI solutions deliver measurable business value while meeting standards for security, reliability, explainability, fairness, safety, and cost efficiency across solution types including generative and agentic AI, retrieval-augmented systems, forecasting, recommendation systems, anomaly or fraud detection, and multimodal use cases.
  • Lead and develop high performing teams of AI scientists and engineers. Build leadership bench strength through succession planning, coaching, and capability development. Ensure consistent application of the Applied AI operating model, decision rights, delivery discipline, and escalation paths across the portfolio. Reinforce shared expectations for quality, evaluation rigor, and production readiness.
  • Provide portfolio-level technical direction and rigorous oversight, partnering closely with Principal ICs, Architecture, AI Platform, and Centers of Excellence. Ensure consistent adoption of approved AI standards, patterns, and guardrails.
  • Review and thoughtfully evaluate portfolio-level architectural choices, evaluation approaches, production readiness, and operational risk signals, guiding leaders through disciplined trade-offs across quality, grounding, latency, cost, scalability, and regulatory risk.
  • Accountable for consistent application of evaluation and monitoring practices across the portfolio. Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and customer or operational KPIs. Oversee governance of metric taxonomies, thresholds, validation evidence, gold and synthetic test sets, A/B testing practices, drift detection, failure-mode analysis, and incident response expectations. Ensure evaluation results inform prioritization, release decisions, and risk management at the executive level.
  • Set portfolio-level expectations and governance for unstructured data and retrieval practices, including document ingestion pipelines, parsing, OCR, layout-aware extraction, metadata and lineage management, access controls, PII detection and redaction, and auditability. Ensure retrieval strategy decisions, including embedding approaches, hybrid and dense retrieval patterns, reranking, grounding validation, and multilingual considerations, align with enterprise standards and regulatory requirements.
  • Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ensuring governance artifacts, controls, escalation paths, and operational evidence are consistently established and enforced. Escalate material risks, trade-offs, and investment decisions to VPs with clear options and implications.
  • Partner with senior leaders across the Business, Technology, Transformation Office, Finance, and HR to align Applied AI delivery with business outcomes. Influence portfolio funding, prioritization, and workforce planning through evidence-based assessments of delivery performance, evaluation outcomes, and risk considerations.
  • Oversee portfolio-level planning, dependencies, resourcing, and financial stewardship. Adjust plans to address shifting priorities, capacity constraints, emerging technical risks, or regulatory changes. Drive continuous improvement in delivery effectiveness, operational resilience, governance maturity, and value realization across the Applied AI portfolio.

Skills
  • Demonstrated experience leading large, complex Applied AI portfolios in regulated enterprise environments.
  • Proven ability to lead teams, building durable leadership capacity and consistent operating discipline across organizations.
  • Strong technical and regulatory fluency across applied AI, including generative and agentic AI, retrieval-augmented systems, evaluation and monitoring practices, and production AI operations, sufficient to review, inform, and govern senior-level decisions.
  • Applied understanding of unstructured data and retrieval approaches, including document ingestion pipelines, OCR, layout-aware extraction, embeddings, hybrid and dense retrieval, reranking, metadata and lineage management, and PII controls.
  • Deep familiarity with AI governance, model risk management, responsible AI practices, and compliance-by-design expectations.
  • Demonstrated success translating strategy into coordinated execution and investment decisions across multiple teams over multi-year horizons.
  • Ability to influence VPs and senior partners through clear, data-driven communication of technical trade-offs, evaluation outcomes, portfolio risks, and business impact.

Education, Experience, Certifications and Licenses
  • 12+ years of applicable experience with a Bachelor's degree; fewer years may be accepted with a higher degree. Master's or Ph.D. preferred in Machine Learning, Applied Mathematics, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation.
  • 7-10+ years leading leaders, large portfolios, or complex programs.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$182,400 - $273,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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