Assistant Vice President Sales Jobs
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About the Role
The Technology and Risk Controls Engineering team within Morgan Stanley's Technology Organization is seeking an Analytics Team Lead-Vice President to provide hands-on data analytics expertise and technical leadership in support of continuous control monitoring. The role will identify and evaluate data sources, perform data analysis, and assess whether data is suitable to support control metrics. The role will partner with teams across the metric development lifecycle to define requirements, confirm data suitability, onboard new feeds, complete user acceptance testing (UAT), and maintain supporting documentation.
This is a technical leadership role with no direct reports or formal people-management responsibilities. The team lead will own delivery of assigned data analytics and metric-development workstreams and coordinate junior analysts' work through clear expectations, deadlines, and technical guidance. The role will ensure deliverables meet documented acceptance criteria, are completed on time, and have identified errors corrected and retested before submission. The team lead will also mentor junior analysts and developers and report on workstream delivery progress.
Responsibilities:
- Collaborate with data subject matter experts (SMEs), control owners, and other team members to understand and document data requirements.
- Independently investigate ambiguous data and metric requirements, challenge assumptions, and recommend fit-for-purpose analytical approaches with limited direction.
- Identify and evaluate potential data sources.
- Evaluate and document data in terms of volume, velocity, variety, veracity, and value.
- Write scripts to extract, transform, and analyse data from various sources.
- Assess and document whether data is suitable to support control metrics.
- Translate approved Control Measurement Record requirements into documented, tested, and validated metric calculation logic; coordinate handover to platform engineering and verify implementation through UAT.
- Document requirements for new data sources and enhancements to existing sources.
- Partner with the database team to onboard new data feeds in accordance with Technology standards and procedures, including UAT planning, execution, and documentation
- Guide the visualization team on the use of data for metric development.
- Follow the company's Software Development Life Cycle (SDLC) policies.
- Create and maintain documentation demonstrating adherence to required processes for review by the Second Line and Internal Audit.
- Own planning and delivery of assigned data analytics and metric-development workstreams, including prioritization, capacity planning, quality assurance, dependency management, and milestone tracking.
- Track workstream progress using project management tools such as JIRA, report delivery status, and promptly escalate risks and issues.
- Provide day-to-day technical leadership for junior analysts by coordinating task assignments, clarifying requirements and acceptance criteria, setting delivery deadlines, and monitoring work through completion.
- Review junior analysts' analyses, SQL queries, scripts, testing evidence, and documentation for accuracy, completeness, and adherence to requirements and standards before submission.
- Apply quality assurance checks, including data reconciliation, validation, and peer review; ensure identified errors are corrected and retested before delivery.
- Mentor junior analysts and developers through hands-on coaching, code reviews, knowledge sharing, and guidance on analytical methods, coding standards, testing, and documentation
Requirements:
- At least 5 years of experience writing Python scripts for data analysis, including extensive knowledge of pandas, regular expressions (re), lambda functions, and NumPy.
- Advanced SQL skills, including developing and reviewing complex queries and validating metric calculation logic
- Experience developing code using AI-assisted tools such as Claude, OpenAI tools, and GitHub Copilot.
- Experience applying AI agents to automate work processes.
- At least 5 years of demonstrated data analysis experience.
- At least 5 years of experience working with database and reporting teams. The five-year experience requirements may be met concurrently; they do not require separate periods of employment.
- Experience providing technical leadership for data analytics workstreams and coordinating junior analysts' work, with accountability for priorities, capacity planning, deadlines, quality, and accurate, timely delivery.
- Ability to exercise independent analytical judgment, resolve ambiguous requirements, challenge assumptions, and recommend appropriate approaches with limited direction.
- Experience translating approved metric requirements into calculation logic, validating results, and supporting engineering handover and UAT.
- Experience reviewing analyses, SQL queries, scripts, and supporting documentation, with strong attention to detail and a structured approach to identifying and resolving errors.
- Ability to mentor junior analysts and developers, explain technical concepts clearly, and provide constructive technical guidance.
- Strong understanding of technology controls and technology risks.
- Intermediate Excel skills, including string manipulation functions, VLOOKUP, and PivotTables.
- Strong communication and organizational skills.
- Project management experience.
Preferred:
- Knowledge of DevOps tools and concepts.
- Experience with GitHub and code deployment.
- Adaptability to new technologies and changing requirements.
- Ability to manage competing priorities in a dynamic, fast-paced environment.
- Experience with Snowflake.
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.
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 .
About the Role
The Technology and Risk Controls Engineering team within Morgan Stanley's Technology Organization is seeking an Analytics Team Lead-Vice President to provide hands-on data analytics expertise and technical leadership in support of continuous control monitoring. The role will identify and evaluate data sources, perform data analysis, and assess whether data is suitable to support control metrics. The role will partner with teams across the metric development lifecycle to define requirements, confirm data suitability, onboard new feeds, complete user acceptance testing (UAT), and maintain supporting documentation.
This is a technical leadership role with no direct reports or formal people-management responsibilities. The team lead will own delivery of assigned data analytics and metric-development workstreams and coordinate junior analysts' work through clear expectations, deadlines, and technical guidance. The role will ensure deliverables meet documented acceptance criteria, are completed on time, and have identified errors corrected and retested before submission. The team lead will also mentor junior analysts and developers and report on workstream delivery progress.
Responsibilities:
- Collaborate with data subject matter experts (SMEs), control owners, and other team members to understand and document data requirements.
- Independently investigate ambiguous data and metric requirements, challenge assumptions, and recommend fit-for-purpose analytical approaches with limited direction.
- Identify and evaluate potential data sources.
- Evaluate and document data in terms of volume, velocity, variety, veracity, and value.
- Write scripts to extract, transform, and analyse data from various sources.
- Assess and document whether data is suitable to support control metrics.
- Translate approved Control Measurement Record requirements into documented, tested, and validated metric calculation logic; coordinate handover to platform engineering and verify implementation through UAT.
- Document requirements for new data sources and enhancements to existing sources.
- Partner with the database team to onboard new data feeds in accordance with Technology standards and procedures, including UAT planning, execution, and documentation
- Guide the visualization team on the use of data for metric development.
- Follow the company's Software Development Life Cycle (SDLC) policies.
- Create and maintain documentation demonstrating adherence to required processes for review by the Second Line and Internal Audit.
- Own planning and delivery of assigned data analytics and metric-development workstreams, including prioritization, capacity planning, quality assurance, dependency management, and milestone tracking.
- Track workstream progress using project management tools such as JIRA, report delivery status, and promptly escalate risks and issues.
- Provide day-to-day technical leadership for junior analysts by coordinating task assignments, clarifying requirements and acceptance criteria, setting delivery deadlines, and monitoring work through completion.
- Review junior analysts' analyses, SQL queries, scripts, testing evidence, and documentation for accuracy, completeness, and adherence to requirements and standards before submission.
- Apply quality assurance checks, including data reconciliation, validation, and peer review; ensure identified errors are corrected and retested before delivery.
- Mentor junior analysts and developers through hands-on coaching, code reviews, knowledge sharing, and guidance on analytical methods, coding standards, testing, and documentation
Requirements:
- At least 5 years of experience writing Python scripts for data analysis, including extensive knowledge of pandas, regular expressions (re), lambda functions, and NumPy.
- Advanced SQL skills, including developing and reviewing complex queries and validating metric calculation logic
- Experience developing code using AI-assisted tools such as Claude, OpenAI tools, and GitHub Copilot.
- Experience applying AI agents to automate work processes.
- At least 5 years of demonstrated data analysis experience.
- At least 5 years of experience working with database and reporting teams. The five-year experience requirements may be met concurrently; they do not require separate periods of employment.
- Experience providing technical leadership for data analytics workstreams and coordinating junior analysts' work, with accountability for priorities, capacity planning, deadlines, quality, and accurate, timely delivery.
- Ability to exercise independent analytical judgment, resolve ambiguous requirements, challenge assumptions, and recommend appropriate approaches with limited direction.
- Experience translating approved metric requirements into calculation logic, validating results, and supporting engineering handover and UAT.
- Experience reviewing analyses, SQL queries, scripts, and supporting documentation, with strong attention to detail and a structured approach to identifying and resolving errors.
- Ability to mentor junior analysts and developers, explain technical concepts clearly, and provide constructive technical guidance.
- Strong understanding of technology controls and technology risks.
- Intermediate Excel skills, including string manipulation functions, VLOOKUP, and PivotTables.
- Strong communication and organizational skills.
- Project management experience.
Preferred:
- Knowledge of DevOps tools and concepts.
- Experience with GitHub and code deployment.
- Adaptability to new technologies and changing requirements.
- Ability to manage competing priorities in a dynamic, fast-paced environment.
- Experience with Snowflake.
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.
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 .
Assistant Vice President Sales Jobs by Experience Level
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Find JobsAssistant Vice President Sales Job Market
Who's Hiring
- JPMorganChase240
- CVS Health189
- Citi161
- Humana75
- icapital63
Top Industries Hiring
- Banking & Financial Services24
- Education16
- Insurance16
- Technology & Software16
- Healthcare & Medical Services16
What Employers Look For
The qualifications that appear most often in assistant vice president sales jobs.
- 7 or more years of progressive sales experience with team leadership responsibility
- Demonstrated success meeting or exceeding quota in a B2B or enterprise environment
- Experience managing and coaching a team of account executives or sales managers
- Proficiency with CRM platforms such as Salesforce to forecast and report pipeline
- Strong executive presentation and stakeholder communication skills
- Bachelor's degree in business, marketing, or a related field
Tips for Your Assistant Vice President Sales Job Search
Align your resume to company stage
An AVP sales role at a growth-stage company demands different evidence than one at a Fortune 500 firm. Tailor your resume to show you've built processes from scratch or scaled within complex organizational structures, whichever matches the employer.
Apply early to roles that fit
Migrate Mate lists assistant vice president sales openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by sales motion type
Filter openings by whether they emphasize direct enterprise sales, channel partnerships, or inside sales leadership. Your materials and pitch should speak directly to that motion, since AVP roles vary widely in what success looks like day one.
Prepare a revenue narrative for interviews
Interviewers for AVP roles consistently ask you to walk through a deal or a team turnaround. Prepare two or three concrete stories that show how you diagnosed a sales problem, changed the approach, and what the measurable outcome was.
Negotiate scope alongside compensation
At the AVP level, what you inherit matters as much as pay. Before accepting an offer, clarify team size, existing pipeline health, and whether the role has a path to VP. These details reshape the value of any package significantly.
Assistant Vice President Sales Jobs: Frequently Asked Questions
Which companies are hiring the most assistant vice president saless?
JPMorganChase, CVS Health, and Citi are hiring the most assistant vice president saless right now, with openings concentrated in New York, California, and Texas, based on current listings on Migrate Mate as of November 2026. Financial services, insurance, and enterprise technology firms account for a significant share of active postings at this level.
How many assistant vice president sales jobs are remote?
About 83% of assistant vice president sales openings are fully remote or hybrid as of November 2026, with remote availability highest in enterprise software and financial technology sales roles. Positions tied to regional territory ownership or in-person client relationships are more likely to require an on-site or hybrid presence.
How do you become a assistant vice president sales?
Most people reach this level by moving from individual contributor to team lead, then to a director or senior manager role before stepping into an AVP position. Building a consistent record of quota attainment, developing people management skills, and gaining exposure to cross-functional planning such as forecasting and hiring are the clearest paths forward.
How do you get hired as an assistant vice president sales with little experience at that level?
If you're a strong director or senior manager without an official AVP title, focus your application on scope rather than label. Highlight the number of people you've led, the size of the revenue you've owned, and any work you've done that crossed into VP-level responsibilities. Many employers care more about what you've actually done than what your title was.
What does the assistant vice president sales interview process look like?
The process typically includes an initial recruiter screen, a hiring manager conversation focused on your sales leadership philosophy, and one or more rounds with senior leadership or cross-functional partners such as marketing or finance. Expect to present a revenue analysis, a 30-60-90 day plan, or a case study showing how you would approach the role's core challenge.
Where can I find and apply to assistant vice president sales jobs?
You can find and apply to assistant vice president sales jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and apply directly to each one that fits.
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