Full-Time

Professional Services AI Enablement Analyst

Precisely

Precisely

1,001-5,000 employees

Data integration, quality, and governance platform

No salary listed

Remote in USA

Remote

Category
Software Engineering (1)
Required Skills
Claude
Python
OpenAI
RAG
LangGraph
Requirements
  • Bachelor’s degree in computer science, Information Systems, Data Analytics, Business, or a related field
  • 3–5 years of experience supporting Professional Services delivery, consulting initiatives, or technology-enabled programs in a software or SaaS environment
  • Experience supporting technology adoption, change management, or enablement across cross-functional teams
  • Strong analytical and problem-solving skills with the ability to interpret data and derive actionable insights
  • Excellent written and verbal communication skills, with the ability to translate complex concepts for diverse audiences and non-technical stakeholders. Ability to simplify complex LLM concepts into actionable training for consultants, analysts, and partners.
  • Experience working with stakeholders at multiple levels, including technical and non-technical partners
  • AI Enablement & Training background and excellent presentation skills a must
  • Strong proficiency in Python, with hands-on experience building or enhancing AI-enabled workflows or internal accelerators
  • Practical experience designing and implementing generative AI solutions, including Retrieval-Augmented Generation (RAG), vector databases, and API-based integrations
  • Experience working with AI agent frameworks and orchestration tools such as LangGraph, CrewAI, Semantic Kernel, or LlamaIndex
  • Experience using enterprise LLM platforms (e.g., Anthropic Claude, OpenAI models), with sound judgment in evaluating outputs, limitations, and risk
  • Solid working knowledge of AI/ML concepts and automation platforms sufficient to support enablement, training, and real-world solution delivery
  • AI Skills/Knowledge: Ability to identify and improve manual or repetitive Professional Services processes using AI or automation
  • AI Skills/Knowledge: Clear analytical and communication skills, with the ability to explain AI-driven outcomes to consultants and delivery stakeholders
  • AI Skills/Knowledge: Comfort using generative AI tools (e.g., Microsoft Copilot, ChatGPT, Claude) and a growth mindset aligned to an AI-first organization
Responsibilities
  • Building AI Deployment Accelerators: Independently build AI agents to automate complex data mapping, schema conversion, and code migration tasks.
  • Building AI Deployment Accelerators: Design "Configuration Agents" that auto-generate documentation and environment setups for product deployments.
  • Use Case Identification & ROI Strategy: Audit Professional Services workflows to identify high-impact AI opportunities.
  • Use Case Identification & ROI Strategy: Perform cost-benefit analyses, translating technical metrics into "hours saved" and "margin improvement" for leadership.
  • Hands-on Agentic Engineering: Design and code autonomous AI Agents using frameworks like Lang Graph, Crew AI, or Semantic Kernel.
  • Hands-on Agentic Engineering: Build systems capable of multi-step reasoning, self-correction, and tool-calling.
  • Team Enablement & Training: Collaborate with Central AI Team's AI Enablement Lead on PS-specific training content
  • Self-Driven Governance & Scaling: Implement LLM Ops for PS-specific agentic solutions, operating within Precisely's AI Architecture Standards and in coordination with the Central AI Team's AI Platform Engineer for tooling, evaluation standards, and model governance
  • Agentic Solutions: Leads the strategy, design, and delivery of agentic service offerings in Professional Services by leveraging MCP servers to connect AI agents with enterprise data and software solutions.
  • Agentic Solutions: Owns customer adoption of MCP based solutions, driving scalable, governed, and LLM agnostic agent implementations that maximize existing automation investments

Precisely provides data integrity software that helps organizations manage data quality, governance, integration, location intelligence, and enrichment across enterprise systems. Its products connect disparate data sources, run quality checks, apply governance rules, and enrich records with contextual attributes so data is accurate and consistent. Compared with competitors, Precisely leverages a broad enterprise-focused data-management stack and global reach, serving 12,000+ customers in 100+ countries, including many Fortunes 100 companies. Its goal is to help customers turn raw data into trusted, actionable insights to improve decision-making and business outcomes.

Company Size

1,001-5,000

Company Stage

Growth Equity (Venture Capital)

Total Funding

$8.5M

Headquarters

Burlington, Massachusetts

Founded

1968

Simplify Jobs

Simplify's Take

What believers are saying

  • Walid Abu-Hadba's April 2026 CEO appointment accelerates agentic AI growth with 30 years experience.
  • Matillion ETL integration speeds AI data pipelines across multi-cloud environments since March 2026.
  • EngageOne RapidCX's Next Best Action AI Agent enhances compliant communications from April 2026.

What critics are saying

  • CISA BOD 25-01 bans Precisely Integrate mainframes, wiping $50M federal ARR by June 2025.
  • Collibra-Snowflake AI governance erodes Precisely suite sales by 50% within 12 months.
  • Informatica CLAIRE captures 25% ETL workloads per Forrester Q1 2026 Wave demotion.

What makes Precisely unique

  • Precisely delivers Agentic-Ready Data via Data Integrity Suite integrating quality, governance, and AI agents.
  • FedRAMP-authorized Geo Addressing API standardizes addresses for US public-sector agencies.
  • Huwise partnership embeds Data Product Marketplace for governed data sharing across enterprises.

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Your Connections

People at Precisely who can refer or advise you

Benefits

Remote Work Options

Flexible Work Hours

Company News

PR Newswire
Apr 8th, 2026
Precisely names Matt Waxman CPO to drive agentic-ready data strategy

Precisely, a global data integrity firm, has appointed Matt Waxman as Chief Product Officer. Waxman will lead the company's product strategy and oversee its Data Integrity Suite whilst advancing initiatives for agentic-ready data. Waxman brings over 20 years of enterprise software experience, having held senior product roles at Veritas, Cohesity, Puppet and Dell EMC. Most recently, he served as CPO at Arctera, where he helped lead the spin-out of a $400 million data management business from Veritas. At Precisely, Waxman will guide product development across the company's portfolio, working to expand AI-driven capabilities and help customers prepare data environments for AI-powered applications. The appointment reflects Precisely's focus on helping organisations address the AI Data Integrity Gap between AI ambitions and necessary data foundations.

PR Newswire
Apr 7th, 2026
Precisely expands FedRAMP-authorised offering with address verification and geocoding API

Precisely, a data integrity company, has expanded its FedRAMP-authorised offering to include its Geo Addressing API within the Precisely Data Integrity Suite. The API combines address verification, geocoding and autocomplete capabilities in a single cloud-native solution for US public-sector agencies and regulated organisations. The tool addresses a critical gap in government modernisation efforts, where agencies often rely on multiple systems or manual processes to validate address data. The API standardises addresses against authoritative postal data, adds precise coordinates, and provides real-time address suggestions to reduce entry errors. The expansion strengthens Precisely's position as a government technology partner, extending its FedRAMP-authorised offerings beyond data governance to operational workflows. Over 12,000 organisations globally, including 95 Fortune 100 companies, use Precisely's services.

PR Newswire
Apr 2nd, 2026
Precisely appoints Walid Abu-Hadba as CEO to accelerate agentic AI growth

Precisely, a global data integrity provider, has appointed Walid Abu-Hadba as chief executive officer, effective immediately. He succeeds Josh Rogers, who will continue as vice chairman in an advisory capacity. Abu-Hadba joins from Sage, where he served as chief product officer, bringing 30 years of experience scaling software businesses. His career includes roles as senior vice president of developer tools at Oracle, chief product officer at ANSYS, and over 20 years at Microsoft as corporate vice president for developer and platform evangelism. The appointment comes as Precisely, backed by Clearlake Capital, TA Associates, Insight Partners and Partners Group, focuses on accelerating data integrity product innovation and expanding its agentic AI capabilities. The company serves over 12,000 organisations globally, including 95 of the Fortune 100.

Enterprise Times
Apr 2nd, 2026
Precisely appoints Walid Abu-Hadba as new CEO.

Precisely appoints Walid Abu-Hadba as new CEO. April 2, 2026 Precisely has announced the transition of the CEO role from Josh Rogers to Walid Abu-Hadba. Abu-Hadba takes over the role immediately, and Rogers transitions to an advisory role, remaining at the firm as Vice Chairman. Josh Rogers, Vice Chairman, Precisely, commented, "Leading Precisely through its transformation over the past decade has been the privilege of my career. And I'm confident that Walid is exactly the right leader for what comes next. "As Vice Chairman, I look forward to partnering with Walid and the board as we enter this exciting next phase. And I want to extend my sincere gratitude to every member of the Precisely team for making this journey possible." Precisely is backed by Clearlake Capital, having bought control of the company in a $3.5 billion deal in 2021 alongside TA Associates. Insight Partners and Partners Group joined them in 2022. This leadership change marks the most significant shift since the company's founding in May 2020, when Syncsort acquired Pitney Bowes' software division to form Precisely. Prashant Mehrotra, Partner & Managing Director at Clearlake, commented, "Walid's technology leadership and track record of driving meaningful results at scale makes him the ideal choice to guide Precisely through its next phase of accelerated growth. Precisely powers essential daily operations at the core of complex enterprise environments, where trusted, governed data is critical. "With this momentum, we believe Walid will help to further Precisely's differentiated market position, addressing the Agentic AI Data Integrity Gap for enterprises facing data silos, outdated information, and inconsistencies that undermine AI effectiveness." Who is Walid Abu-Hadba. Abu-Hadba joins from Sage, where he served as Chief Product Officer (CPO) and a member of the executive committee for nearly 5 years. He currently serves on the board of IDERA Software and IQ3Connect; it is not clear whether he will retain those roles following the appointment. Abu-Hadba is also on the board of advisors for Onscale and has experience working with private equity companies. He served as an industry advisor to the EQT Group for several years. Abu-Hadba has had a 30-year career during which he worked at two major players in the industry. He was Senior Vice President of Developer Tools at Oracle for 2.5 years. He also spent four years as Chief Product Officer at Ansys INC. Abu-Hadba also spent 21 years at Microsoft. There he began his career in several technical roles before rising through the management ranks to become Corporate Vice President, Developer and Platform Group for over five years. Abu-Hadba studied at both Arizona State University and the University of Arizona. Walid Abu-Hadba, CEO of Precisely, said, "I am honored to join Precisely at this pivotal moment in the Company's journey. I have long admired Precisely's reputation as the trusted partner for organizations that depend on accurate, reliable data. As enterprise AI adoption accelerates, we believe success or failure increasingly hinges on data integrity, positioning Precisely at the nexus of the AI transformation underway at large enterprises. I look forward to working closely with our talented team as we strive to build on this strong foundation and deliver exceptional results for our customers." Enterprise times: what does this mean. After 6 years at the helm of Precisely and 11 years as CEO and sales leader at Syncsort, Roger is stepping aside for a fresh perspective. Under his leadership, the company has grown from $80 million in revenue to $850 million. In Abu-Hadba, the investors have found an experienced leader with a deep understanding of technology, products, and selling to Enterprises. However, this is a major change for the company. And it will be interesting to see whether other appointments follow and how Abu-Hadba now leads the firm into the future.

Enterprise Times
Mar 12th, 2026
Precisely and Matillion speed data modernisation and AI readiness

Precisely and Matillion speed data modernisation and AI readiness. March 12, 2026 Precisely and Matillion have agreed on a new OEM partnership. It will see Matillion's cloud-native Extract-Transform-Load (ELT) capabilities embedded into the Precisely Data Integrity Suite. It gives customers a single suite of tools that allows them to accelerate the modernisation of their data environments. More importantly, it will speed up the transformation of data for use in AI. Ulf Viney, Executive Vice President of Engineering, Support & Operations at Precisely, said, "AI ambition only delivers ROI when the data behind it is modern, scalable, and trustworthy. "By embedding cloud-native ETL directly into the Data Integrity Suite, we're eliminating fragmentation and giving organizations a unified foundation to move, prepare, and trust their data, accelerating their path to Agentic-Ready Data." How does this deal accelerate data transformation? One of the core processes in data transformation is ETL. Systems extract data from source locations, often with different attributes and object names. Then they transform the data so it becomes part of a unified set. As part of that process, the transformation corrects and enriches the data based on business rules. The result is a higher quality and consistent data set. Once systems transform the data, they load it into a new target system. That makes it the source of truth for new applications. Users can query it, use it for complex analysis, and feed decision-making systems. Increasingly, teams also use that data to support new AI-driven applications. However, research from Precisely and the Drexel University LeBow College of Business shows a problem. The recent Precisely 2026 State of Data Integrity and AI Readiness report (registration required) shows that organisations are concerned about their data integrity status. This is impacting AI projects and making it hard for organisations to show ROI from their investments. Embedding Matillion ETL creates a smoother workflow. Embedding the Matillion ETL into the Data Integrity Suite lets customers build automated pipelines to manage their data. This ability lets them create proven, trusted, repeatable, and scalable processes. These automated pipelines also let data teams build self-service options for users. Users can drag and drop data from different sources. Enrichment is then assigned to that data using other drop-down boxes, giving users control over the level and type of enrichment. Another benefit: many customers use multiple clouds. That means data must be pulled from different sources, which often require different tools. Matillion ETL is a cloud-native solution. It runs in the cloud and accesses data across any cloud storage service. Among the benefits that Precisely says this partnership will deliver are: * Low-code, cloud-native ETL/ELT for rapid pipeline development * Scalable data transformation across hybrid and multi-cloud environments * Faster time-to-insight for analytics and reporting * Trusted data foundations for AI and advanced decision-making * Reduced complexity through unified integration workflows Enterprise times: what does this mean? Many of the challenges that organisations struggle with today are nothing new. They have been around for decades. They are often still using multiple tool sets and doing processes such as ETL manually. Additionally, the volume of data they are working with continues to grow and become more complex. The target usage for the data from advanced analytics to decision-making systems and AI continues to evolve. That means pulling data from a wider variety of sources and being able to carry out deeper enrichment of the data. Without this, the data will deliver mediocre solutions that will fall short of the demands from the business teams. To ease things for customers, Precisely has been investing heavily in data sets for enrichment and adding AI capabilities. Now it is adding more traditional tools into the Data Integrity Suite with Matillion ETL. For customers, this will enable them to speed up data transformation and create greater automation. The question now is what will Precisely add next? February 26, 2026 March 11, 2026