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Ai Implementation Jobs in Pelham, NH (NOW HIRING)

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Leading teams in the development of scalable machine learning models and solutions - Managing ...

Proven track record designing and implementing RAG architectures at scale * Proficiency in Python for AI/ML work and NodeJS/TypeScript for backend development * Experience with agentic frameworks and ...

Build and implement an AI enablement strategy across Americas business units in conjunction with our global team which includes awareness, driving adoption, ongoing training & communications, and ...

Implementation Manager

Boston, MA · On-site

$92K - $136K/yr

AI has the potential to change this, compressing decades of R&D work into years. But that only ... Implementation Managers work with our customers, from small Biotech startups to the largest ...

Track actions, risks, dependencies, and blockers, escalating where appropriate to ensure seamless AI implementation. * Ensure user stories are clearly defined, prioritized, and ready for development ...

Exploring and using new technologies, automation and AI-powered tools where they can support productivity, quality or customer outcomes Essential experience * Experience implementing SaaS or B2B ...

Partner with stakeholders to implement system enhancements, AI, and automation opportunities * Maintain comprehensive documentation of support processes and procedures Sound Like You? Required ...

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Ai Implementation information

See Pelham, NH salary details

$40.5K

$107.6K

$174.7K

How much do ai implementation jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai implementation in Pelham, NH is $107,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $125,800.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What job categories do people searching Ai Implementation jobs in Pelham, NH look for?

The top searched job categories for Ai Implementation jobs in Pelham, NH are:

What cities near Pelham, NH are hiring for Ai Implementation jobs?

Cities near Pelham, NH with the most Ai Implementation job openings:

Infographic showing various Ai Implementation job openings in Pelham, NH as of August 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $107,632 per year, or $51.7 per hour.

Channel Data and AI Implementation Senior Associate

Morgan Stanley

Boston, MA • On-site

Full-time

Re-posted 5 days ago


Key responsibilities

  • Transform data into actionable insights to support sales teams and leadership in the US Intermediary business.

  • Lead analytical initiatives to identify sales opportunities and support distribution strategies across various investment products.

  • Partner with sales, leadership, and cross-functional teams to communicate data-driven insights and influence distribution priorities.


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

36th of 154 rated financial services


Job description

Morgan Stanley Investment Management ("MSIM"), together with its investment advisory affiliates, operates in 25 countries with $1.9 Tn in assets under management or supervision as of March 31, 2026. MSIM strives to provide outstanding long-term investment performance, service and a comprehensive suite of investment management solutions to a diverse client base, which includes governments, institutions, corporations and individuals worldwide. The Sales Data Senior Associate role sits at the intersection of data, and sales execution for MSIM's US Intermediary business

By turning sales data into actionable insight, the Sales Data Senior Associate helps leadership and the sales teams understand what is changing, why it matters, and where to focus next. The work directly influences advisor targeting, campaign effectiveness, and distribution outcomes, making this role a critical enabler of MSIM's growth strategy. Primary Responsibilities: Data Analysis & Insight Generation Transform data into insight and action by synthesizing industry, market, and product data from multiple internal and third-party sources to deliver forward-looking analysis that empowers US Intermediary sales teams.

Lead high-impact analytical initiatives supporting MSIM's distribution strategy across Mutual Funds, Separately Managed Accounts, Specialty Solutions, Alternative Investments, and Exchange-Traded Funds Uncover and articulate sales opportunities through rigorous analysis, clear presentation of alternatives, and well-supported recommendations that translate complexity into clarity. Identify and target growth opportunities by analyzing advisor behavior and sales trends, with a particular focus on MSIM's highest priority advisor and firm prospects Partnership & Influence Partner closely with Sales and Senior Leadership to identify, shape, and advance tactical distribution priorities, using data-driven storytelling to influence decision-making. Proactively use AI to deliver insights and solutions by anticipating sales management needs and offering actionable ideas rooted in performance metrics, trends, and strategic objectives.

Use AI to connect data to advisor behavior and product demand Translate complex data into clear, actionable insights for intermediary sales teams and leadership. Business Expertise & Cross-Functional Engagement Build deep expertise in the US Intermediary business, maintaining continuous engagement across sales, marketing, operations, and IT to stay current on business objectives, market dynamics, product developments, and evolving data capabilities. Leverage intermediary sales feedback to refine data sets and advance AI-enabled solutions Qualifications Bachelor's degree or equivalent preferred 3 - 5 years of experience supporting asset management or financial services distribution, ideally within US Intermediary, wealth management, or advisor-focused sales channels.

Ability to think and communicate like a distribution professional-connecting insights directly to how intermediary sales teams prioritize, position products, and drive growth. Knowledge of investment products, including Mutual Funds, Separately Managed Accounts, ETFs, Alternative Investments, and other specialty solutions. Required: Practical, hands-on experience using AI tools (e.g., Copilot, ChatGPT, Claude) to drive productivity, enhance analytical output, and deliver business impact Excellent presentation and communication skills, with the ability to translate complex insights into clear, actionable messaging for stakeholders across all levels, including intermediary sales teams Proficiency in standard analytical and reporting tools: including Excel and PowerPoint, with experience leveraging data visualization and reporting platforms (e.g., Tableau, Power BI, SQL, or similar) to produce executive-ready insights

Experience with CRM systems is preferred (SalesForce) Demonstrated experience operating at a Senior Associate level, with the ability to independently own analyses, manage deliverables end-to-end, and provide informed recommendations to managers and senior stakeholders. Strong analytical and quantitative expertise, with experience interpreting large, complex sales and market data sets to uncover trends, opportunities, and actionable insights. Proven ability to communicate effectively across levels, from sales partners to senior management.

Experience in telling compelling stories with data, translating month-over-month changes, performance trends, and advisor behavior into clear, executive-ready narratives. Proactive, solution-oriented approach, with the confidence to identify gaps, recommend improvements, and influence outcomes through data-driven insights. Collaborative mindset and cross-functional fluency, enabling effective partnership with Sales, Marketing, Operations, IT, and Data Reporting teams.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.

At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $95,000 and $115,000 per year at the commencement of employment

However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.


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About Morgan Stanley

Sourced by ZipRecruiter

Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.

Industry

Finance and insurance and software development

Company size

10,000+ Employees

Headquarters location

New York, NY, US