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application development technology sr. lead analyst, senior vice president Jobs in Jersey City

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senior data scientist

Ignite Insurance Systems

<div>We're looking for a Senior Data Scientist to join our team in Jersey City, NJ.</div>
 <div><ul><li>Under supervision, participates in the development and execution of analysis project plans for timely project completion. May contribute to project hypothesis and goal setting.
</li><li>Utilizes statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs.
</li><li>Ensures statistical, computational, and algorithmic validity of results.
</li><li>Performs analyses of structured and unstructured data to solve multiple and complex business problems, utilizing advanced statistical, mathematical and machine learning technique.
</li><li>Ability to keep up to date with emerging methods and environments.
</li><li>Work with other technical teams and business units for R&amp;D development, and delivery of solution(s).
</li></ul>Provides required support for project delivery and implementation.
 
<ul><li>Creates clear and easy to understand documents for product support (technical).
</li><li>Presents analysis ideas, progress reports and results to internal managers, project managers.
</li><li>Collaborates with Lead or Principal Data Scientist to develop technical approaches and new or enhanced technical tools.
</li><li>Completes all responsibilities as outlined on annual Performance Plan.
</li><li>Completes all special projects and other duties as assigned.
</li><li>Must be able to perform duties with or without reasonable accommodation.</li></ul></div>
 <div><ul><li>Knowledge in and applied experience with statistical and machine learning.
</li><li>Skilled with feature engineering, model selection, and assessment methodologies, and familiarity with all stages of the data science pipeline.
</li><li>Logical, evidence-based problem solving and critical thinking skills.
</li><li>Applied, practical experience using statistical and machine learning computer languages (e.g. R, Python, SQL).
</li><li>Working familiarity with cloud computing environments.
</li><li>Graduate-level degree with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline.
</li><li>Master's degree plus 24 months of experience.
</li></ul>Preferred qualifications:
<ul><li>Insurance experience, focusing on the personal lines, commercial lines, underwriting or related business content.
</li><li>Experience with any of the following considered a plus: creating unit tests in python, GitLab CI/CD pipelines, working with ETL pipelines. 
</li></ul>#LI-ZP1
#LI-Hybrid</div>
 <div>For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer, testaments to the value we place on workplace culture.
We&rsquo;re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
 Verisk Businesses
Underwriting Solutions &mdash; provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions &mdash; supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property Estimating Solutions &mdash; offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Specialty Business Solutions &mdash; provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Catastrophe and Risk Solutions &mdash; provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
Marketing Solutions &mdash; delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
Life Insurance Solutions &ndash; offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft &mdash; provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
Verisk Analytics is an equal opportunity employer.
Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
https://www.verisk.com/company/careers/
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Verisk Employee Privacy Notice</div>

Senior Data Scientist for CLS Analytics

Fustis LLC

Need someone with recent Banking clients 
 
$65/h W-2 
 
Jersey City NJ 
 
LOCATION: Hybrid - Jersey City, NJ 
Experience Level: Senior (10+ Years) 
Cybersecurity - Insider Risk &amp; Advanced Analytics 
 
USC, GC 
 
DL &amp; LinkedIn needed (updated with photo) 
 
Summary: 
The Insider Risk team in partnership with the Information Security Data Operations team are working on a project to centralize IR data in the Cybersecurity Data Lakehouse (CyberDW). We are looking for a Data Scientist who can work with the developers and Data Analysts to perform analytics, develop risk and quant models around Insider Risk data. Ultimately, we want to create a human risk score for the Insider Risk program. This individual will be adept at ML, AI and best practices around the new tools in the marketplace. 
 
The Data Scientist / Data Modeler / Quantitative Analyst will play a critical role in advancing the Insider Risk programs detection, scoring, and decisioning capabilities. This role is responsible for designing, building, and continuously improving quantitative models, statistical methods, and analytical frameworks used to identify, assess, and prioritize insider risk across employees, contractors, vendors, and nonhuman identities. 
 
The role partners closely with Cyber, HR, Legal, Compliance, AntiFraud, and Enterprise Information Protection to transform complex enterprise data into defensible risk signals, transparent scoring models, and executive level metrics that support investigations, governance, and regulatory scrutiny. 
 
Required Skills: 
1) Bachelors or Masters degree in Data Science, Statistics, Applied Mathematics, Economics, Quantitative Finance, Computer Science, or a related discipline. 
2) 5+ years of experience in data science, quantitative analysis, or risk modeling, preferably in financial services or regulated industries. 
3) Strong experience building statistical or machine learning models (regression, classification, anomaly detection, clustering). 
4) Proficiency in Python and/or R, with experience in SQL for largescale data analysis. 
5) Hands-on experience working with complex enterprise datasets and translating analytics into business decisions. 
6) Strong communication skills with the ability to explain complex analytical concepts to nontechnical stakeholders. 
7) Experience supporting Insider Risk, Fraud, AML, Cybersecurity, UEBA, or Threat Analytics programs. 
8) Familiarity with identity and access data, endpoint telemetry, DLP, email, or collaboration monitoring. 
9) Experience with model explain ability, governance, and validation in regulated environments. 
10) Knowledge of employee lifecycle risk, behavioral analytics, or humancentric risk modeling.

Data Scientist - Insider Risk & Advanced Analytics

JPMorganChase

<div>JOB DESCRIPTION 
The Legal Applied AI/ML team in Corporate Technology at JPMorgan Chase focuses on solving challenging business problems such as semantic search, question answering, document analysis, automation of service inquiries through data science and ML techniques, particularly using GenAI and LLM tools and techniques. You will work with the firm&rsquo;s rich data pool from both internal and external sources using GenAI tools and frameworks, Python/Spark via AWS and other systems. You are also expected to derive business insights from technical results and be able to present them to non-technical audience.
As an Applied AI ML Data Scientist-Senior Associate on Corporate team, you will have the opportunity to study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for those problems.
Job responsibilities<ul><li>
Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.</li><li>
Develop GenAI and LLM solutions to solve business problems.</li><li>
Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs.
</li><li>Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection.
</li><li>Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience.
</li><li>Communicate AI/GenAI capabilities and results to both technical and non-technical audiences.
</li><li>Stay informed about the latest trends and advancements in the latest AI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
</li></ul>Required qualifications, capabilities, and skills<ul><li>
PhD in Computer Science or a related quantitative discipline with 1+ years of relevant experience or MS/BS in Computer Science or a related field with 2+ years of relevant experience.</li><li>
Practical expertise with LLM projects as well as other supervised and unsupervised techniques; proven track record of deploying AI/ML applications in a production environment.</li><li>
Proficient programming skills with Python and SQL as well as practical experience with other languages such as R, Java and other equivalent languages.</li><li>
Demonstrated experience working with large and complicated datasets.</li><li>
Experience with ML frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.</li><li>
Experience integrating user feedback to establish agentic refinement and self-improving AI applications.</li><li>
Solid understanding of fundamentals of statistics and machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning) and generative model architectures, particularly Transformer.</li><li>
Ability to identify and address AI/LLM challenges, implement optimizations and tune models for optimal performance in NLP applications.</li><li>
Excellent problem solving, communication (verbal and written), and teamwork skills.</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Experience working with engineering teams to operationalize ML models.</li><li>
Expertise in designing and implementing pipelines using RAG and Agentic AI framework</li><li>
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
</li></ul>ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AIML Data Scientist-Senior Associate

<div>JOB DESCRIPTION 
About the role JPMorgan Chase&rsquo;s Asset &amp; Wealth Management Finance organization is building the next generation of agentic AI solutions that act as &ldquo;digital workers&rdquo; for forecasting, analytics, and decision support.
As a Senior Data Science Associate, you will design, deploy, and scale large language model (LLM) agents that turn complex finance questions into trusted, actionable insights.
Job responsibilities<ul><li>
Build production LLM agents for finance workflows using techniques such as retrieval‑augmented generation (RAG), tool use, and multi‑step reasoning.</li><li>
Develop robust data and inference pipelines in Python and SQL; integrate agents with APIs, microservices, and BI applications.</li><li>
Implement evaluation frameworks and guardrails: offline and online tests, automatic metrics (factuality, grounding, hallucination rate), human‑in‑the‑loop reviews, red‑team testing, and observability.</li><li>
Optimize for scale, latency, and cost across cloud environments; leverage vector databases and embeddings for efficient retrieval.</li><li>
Partner with Finance, Product, and Engineering to identify high‑value use cases; translate ambiguous problems into measurable outcomes.</li><li>
Apply solid ML engineering and MLOps practices (versioning, CI/CD, model registry, monitoring, incident response).</li><li>
Document systems, deliver enablement materials, and upskill partners; contribute to standards for privacy, security, and model risk governance.</li></ul>
Required qualifications, capabilities and skills<ul><li>
6+ years in data/ML roles, including 3+ years building and operating production ML applications; hands‑on experience with LLMs.</li><li>
Strong Python and SQL.</li><li>
Practical knowledge of RAG, prompt engineering, fine‑tuning, function/tool calling, and vector stores.</li><li>
Experience with cloud platforms (e.g., AWS, Azure, or GCP) and modern data stacks (e.g., Databricks or Snowflake).</li><li>
Familiarity with LLM frameworks and orchestration (e.g., LangChain or LlamaIndex) and REST/GraphQL API design.</li><li>
Proficiency in analytics and applied statistics; ability to design experiments and evaluate business impact.</li><li>
Excellent communication and stakeholder management; comfort working across Finance, Technology, and Operations.</li></ul>
Preferred qualifications, capabilities and skills<ul><li>
Experience building multi‑agent systems, autonomous workflows, or task planners.</li><li>
Eexperience with PySpark or distributed compute.</li><li>
Knowledge of model safety, bias, and privacy techniques; experience with model risk management and governance.</li><li>
Exposure to observability tools (logging, tracing, telemetry) and A/B testing.</li><li>
Background integrating agents with BI/reporting and workflow tools; familiarity with Tableau or similar is a plus.</li><li>
Experience with GPUs/accelerators, containerization, and infrastructure‑as‑code.</li></ul>
What success looks like<ul><li>
90 days: deliver a pilot finance agent with RAG and evaluation metrics, integrated with key data sources and APIs.</li><li>
6 months: scale agents across multiple workflows, establish guardrails and monitoring, and demonstrate clear improvements in cycle time, accuracy, or user satisfaction.</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Senior Associate -Applied AI Data Scientist

<div>JOB DESCRIPTION 
This role is a challenge with big impact, but you were made for this. Bring your Engineering skills and lead and manage multiple technical teams and move financial technologies forward.
As a Manager of Software Engineering at JPMorgan Chase within the Corporate - Data and Analytics team, where you will lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team&rsquo;s work adheres to compliance standards, business requirements, and tactical best practices.
Job responsibilities
<ul><li>Provides guidance to immediate team of software engineers on daily tasks and activities</li><li>
Sets the overall guidance and expectations for team output, practices, and collaboration</li><li>
Anticipates dependencies with other teams to deliver products and applications in line with business requirements</li><li>
Manages stakeholder relationships and the team&rsquo;s work in accordance with compliance standards, service level agreements, and business requirements</li><li>
Creates a culture of opportunity, inclusion, and respect for team members and prioritizes diverse representation</li></ul>
Required qualifications, capabilities, and skills
<ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience
</li><li>Experience leading technology projects</li><li>
Experience managing technologists</li><li>
Proficient in automation and continuous delivery methods</li><li>
Proficient in all aspects of the Software Development Life Cycle</li><li>
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
In-depth knowledge of the financial services industry and their IT systems</li><li>
Practical cloud native experience</li><li>
Experience working at code level</li><li>
Experience working with AI &ndash; generative or agentic and using them in design and coding.</li></ul>
Preferred qualifications, capabilities, and skills
<ul><li>Experience working with Java Springboot, Python, PiSpark, Mongodb, Oracle, Unix</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Manager of Software Engineering - Data Analytics

<div>JOB DESCRIPTION 
The Risk Management and Compliance (RM&amp;C) organization plays a critical role in protecting JPMorgan Chase and our clients by identifying and managing risk across businesses and geographies. The team partners with leaders to strengthen governance, enable responsible growth, and meet evolving regulatory expectations. RM&amp;C&rsquo;s Chief Data Office (CDO) advances an agile Data Risk Management framework that proactively identifies and monitors emerging and existing risks, establishes effective controls, and drives the RM&amp;C Data Strategy through strong governance.
As the Risk Management &amp; Compliance (RM&amp;C) Data Strategy lead in RM&amp;C, you will promote the RM&amp;C transition toward a Data Product approach as part of our larger data strategy. This role will have a dual reporting line to both the RM&amp;C CDO lead and the head of RM&amp;C Data Strategy. You will partner with the Firmwide CDO and technology to design and implement an approach to define, develop and register data products, so that a collection of curated data for a specific business need can be easily re-used to increase speed to insight. You will also work with the Executive Data Owners and Data Product Managers across RM&amp;C to define their data product landscape, track progress toward the target state, and build a culture of data product management.
Job responsibilities:<ul><li>
Lead end-to-end program management for the rollout of RM&amp;C Data Products, including roadmap development, delivery execution, risk/issue management, and milestone tracking.</li><li>
Drive executive-level communications in partnership with the Head of RM&amp;C Data Strategy by curating senior messaging, updates, and briefing materials for key forums</li><li>
Coordinate cross-functional delivery across RM&amp;C stakeholders to align priorities, dependencies, and adoption plans for Data Products.</li><li>
Partner with Corporate Technology to define and deliver RM&amp;C tooling needs for Data Products, translating business requirements into actionable technology outcomes.</li><li>
Represent RM&amp;C in Firmwide CDO working groups and forums, ensuring alignment to enterprise standards, sharing progress, and bringing back best practices to RM&amp;C.</li><li>
Enable change management and adoption by supporting stakeholder engagement, training/enablement coordination, and feedback loops to continuously improve the rollout.</li></ul>
Required qualifications, capabilities, and skills:<ul><li>
Minimum 8 years of relevant experience in data and AI / ML domain, or related areas</li><li>
Minimum 4 years experience as either a product manager, product designer, engineer, data analyst, data scientist, or user researcher</li><li>
Demonstrated ability to figure out solutions to hard problems with many constraints, using sound judgement to assess risks, and to lay out argument in a well-structured, data-informed, written narrative</li><li>
Demonstrated program management expertise, with a proven track record of delivering complex, cross-functional initiatives requiring close coordination across diverse stakeholders and partner teams.
</li><li>Proven ability to engage with engineers, designers, and company leaders in a constructive and collaborative relationship</li><li>
Exceptional verbal and written communication skills, with the ability to translate complex topics into clear, concise messaging tailored to technical and non-technical audiences, including senior leadership.</li></ul>
Preferred qualifications, capabilities, and skills:<ul><li>
Familiarity with common cloud-native data analysis platforms such as Databricks, or Snowflake</li><li>
Familiarity with the financial services industry</li><li>
Experience building or managing data pipelines and datasets</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
<div>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div><div> 
 
</div><div>Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.</div></div>

Data Strategy Lead-Executive Director

AvePoint France

<div>
 Location: Jersey City, NJ, United States Department: Data &amp; AI Posted Date: 4/24/2026
 
 
 
 About AvePoint
 
 
 
 AvePoint is the global leader in data protection, unifying data security, governance, and resilience to provide a trusted foundation for AI. More than 28,000 customers rely on the AvePoint Confidence Platform to secure, govern, and rapidly recover data across Microsoft, Google, Salesforce, and other cloud environments. With a single platform for lifecycle control, multicloud governance, and rapid recovery paired with clear ownership across the business, we prevent overexposure and sprawl, modernize legacy and fragmented data, and minimize data loss and interruption. Our global partner ecosystem includes approximately 6,000 MSPs, VARs, and SIs, and our solutions are available in over 100 cloud marketplaces. To learn more, visit www.avepoint.com.
 
 
 At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you!
 
 
 
 Overview
 
 
 
 We are seeking a dynamic and forward-thinking AI Adoption Lead to join our AI team. This hybrid role is designed for a strategic thinker who thrives at the intersection of business process analysis and cutting-edge AI enablement. You will play a pivotal role in identifying high-impact opportunities for AI integration and leading the internal adoption of technologies such as Microsoft 365 Copilot, Copilot Studio, and Gemini Enterprise.
 
 
 This role is split 50/50 between traditional business analysis and internal AI evangelism. You will work closely with cross-functional teams and executive leadership to drive AI literacy, promote the &ldquo;art of the possible,&rdquo; and ensure AI tools are embedded into everyday workflows to unlock productivity and innovation at scale.
 
 
 You will collaborate closely with the AI Team developers responsible for building solutions on top of Copilot Studio, Microsoft Agent Framework, and Gemini Enterprise to ensure seamless implementation and integration.
 
 
 
 Key Responsibilities
 
 
 
 
 Business Analysis (50%)
 
 
 
 <ul>
 <li>
 Analyze current business processes and identify opportunities for AI-driven optimization and automation.
 </li>
 <li>
 Lead requirements gathering sessions and develop &ldquo;As-Is&rdquo; and &ldquo;To-Be&rdquo; process documentation.
 </li>
 <li>
 Translate business needs into functional specifications for AI solutions and integrations.
 </li>
 <li>
 Collaborate with the rest of the AI Team to ensure technical feasibility and alignment with enterprise architecture.
 </li>
 <li>
 Support project planning, scoping, and delivery of AI-enabled solutions.
 
 
 </li>
 </ul>
 
 AI Adoption &amp; Evangelism (50%)
 
 
 
 <ul>
 <li>
 Champion the internal adoption of AI tools (e.g., M365 Copilot, Copilot Studio, Gemini Enterprise) across business units.
 </li>
 <li>
 Design and deliver engaging training programs, workshops, and enablement materials (videos, guides, demos).
 </li>
 <li>
 Partner with executive leadership to promote top-down AI adoption strategies and cultural change.
 </li>
 <li>
 Act as a subject matter expert and first-line support for AI tools, addressing user questions and feedback.
 </li>
 <li>
 Monitor adoption metrics and identify blockers.
 </li>
 <li>
 Surface and prioritize high-value AI use cases and contribute to the internal AI roadmap.
 </li>
 <li>
 Foster a community of AI champions and internal advocates to scale adoption efforts.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 5+ years of experience in business analysis, digital transformation, or technology enablement roles.
 </li>
 <li>
 Proven experience with business process mapping, requirements gathering, and stakeholder engagement.
 </li>
 <li>
 Strong understanding of AI technologies, including generative AI, LLMs, and tools like Microsoft 365 Copilot, Copilot Studio, and/or Gemini Enterprise.
 </li>
 <li>
 Experience designing and delivering training or change management programs.
 </li>
 <li>
 Excellent communication and facilitation skills; ability to translate complex technical concepts into accessible language.
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 Comfortable engaging with all levels of the organization, including C-suite executives.
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 Bachelor&rsquo;s degree in Business, Computer Science, Information Systems, or a related field.
 
 
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 Preferred Qualifications
 
 
 
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 Experience with prompt engineering, AI governance, or AI literacy initiatives.
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 Familiarity with Microsoft 365 ecosystem (SharePoint, Teams, Power Platform) and M365 admin tools.
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 Background in organizational change management or enterprise training.
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 Experience working with AI analytics dashboards (e.g., Copilot Analytics) to track adoption and impact.
 
 
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 The Salary Range for this role is 130,000 - $160,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions&mdash;apply even if your expectations fall outside the range.
 
 
 Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.
 
 
 Why AvePoint?
 
 
 We are invested in the success of our colleagues, partners, customers, and community. We do this by promoting global collaboration and taking pride in helping, sharing, mentoring, and coaching each other.
 
 
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 ]:align-middle bg-white text hover:text-primary-hover active:bg-white [&amp;_.icon]:text-primary group/btn w-full sm:w-fit px-4 py-[5px] text-sm rounded-md border" href="https://www.avepoint.com/blog/careers/" target="_blank"&gt;
 
 
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 Life at AvePoint
 
 
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