Back to jobs

Capacity Planning & Analytics, VP

Tampa, FL, US; Salt Lake City, UT, US; Alpharetta, GA, US; Gilbert, AZ, US

Live, first seen by us 52 days ago
Pay
Pay not listedSimilar roles state $154K–$226K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting

The Vice President, Capacity Planning & Analytics is responsible for leading long-range workforce and resource planning for our contact center operations.

As a strategic leader, Vice President reports to an Executive Director, and partners closely with leaders to translate complex data into actionable insights, optimize resource allocation, and influence key business decisions.

  • Lead short- to long-term demand forecasting across business lines and channels

  • Build forecasts for volume, AHT, shrinkage, attrition and occupancy

  • Build cross-skill and blended workforce models across channels

  • Lead the headcount planning process and present recommendations to senior leadership

  • Lead and develop capacity planning analysts

From the employer’s posting
The Vice President, Capacity Planning & Analytics is responsible for leading long-range workforce and resource planning for our contact center operations. The role is also responsible for the creation and implementation of advanced analytics functions that enable data-driven business decisions across multiple lines of business. This individual will own forecasting, staffing, and capacity models to ensure optimal service levels at efficient cost and adhering to contractual obligations, in close partnership with multiple internal departments. This role develops and oversees accurate demand forecasts, staffing plans, and analytical models that balance client experience, operational efficiency, cost management, and headcount outcomes.
As a strategic leader, Vice President reports to an Executive Director, and partners closely with leaders to translate complex data into actionable insights, optimize resource allocation, and influence key business decisions. The role drives continuous improvement of forecasting methodologies, analytical frameworks, and decision-support tools to ensure the organization can anticipate business trends and respond effectively to changing client and operational demands.
Lead the development, execution, and governance of short-, medium-, and long-term demand forecasting models across multiple business lines and contact channels.
Build forecasting models for volume, AHT, shrinkage, attrition and occupancy to inform hiring and scheduling
Build cross-skill and blended workforce models to optimize staffing for agent supporting multiple channels/lines of business
Lead the headcount planning process and present recommendations to senior leadership
Lead and develop capacity planning analysts

What you’ll bring

All qualifications

Core experience

  • 7+ years of experience in forecasting, workforce planning, analytics, data science, operations research, or a related quantitative discipline.
  • Ability to balance client experience, operational performance, cost efficiency, and workforce investment decisions.
  • Proven experience leading forecasting and analytical functions within a complex, multi-line-of-business environment.
  • Experience working with large, complex data sets and transforming data into actionable business insights.
  • Strong knowledge of programming and analytics tools such as Python, SQL, R, SAS, or similar technologies.
  • Experience with statistical forecasting methods, Erlang C/queuing models (including chat concurrency models and BI tools (Genesys, Power BI, Tableau, MS Office)
Qualification wording
7+ years of experience in forecasting, workforce planning, analytics, data science, operations research, or a related quantitative discipline.
Ability to balance client experience, operational performance, cost efficiency, and workforce investment decisions.
Proven experience leading forecasting and analytical functions within a complex, multi-line-of-business environment.
Experience working with large, complex data sets and transforming data into actionable business insights.
Strong knowledge of programming and analytics tools such as Python, SQL, R, SAS, or similar technologies.
Experience with statistical forecasting methods, Erlang C/queuing models (including chat concurrency models and BI tools (Genesys, Power BI, Tableau, MS Office)
Apply at Morgan Stanley

Posting record

Report an error
Status in our records
Live
First seen by us
Sep 18, 202652 days ago
Recorded sightings
169
Last seen by us
Nov 10, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$226K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,095 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 52

Similar jobs usually come down between day 7 and day 55.

At Morgan Stanley, jobs usually come down by about day 32.

From 8,714 similar postings that came down, and 189 of Morgan Stanley’s. Coming down is not always a hire.

Morgan Stanley is hiring

47 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring has slowed
  • Takes jobs down at a usual pace
  • 2% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SAS
  • SQL
  • Power BI
  • Tableau
Where the posting names them
- Experience working with large, complex data sets and transforming data into actionable business insights. - Strong knowledge of programming and analytics tools such as Python, SQL, R, SAS, or similar technologies. - Experience with statistical forecasting methods, Erlang C/queuing models (including chat concurrency models and BI tools (Genesys, Power BI, Tableau, MS Office)
- Strong knowledge of programming and analytics tools such as Python, SQL, R, SAS, or similar technologies. - Experience with statistical forecasting methods, Erlang C/queuing models (including chat concurrency models and BI tools (Genesys, Power BI, Tableau, MS Office) - Experience modelling multi-skill/blended agent staff across channels (chat/back office work) and lines of business

Your next step

Complete your application on morganstanley.eightfold.ai. The employer’s form will show what is required.

Applying through Eightfold

  • You sign in, with Microsoft, LinkedIn, Google, Facebook or a new account, before the application opens.

Already applied? Track this application

About Morgan Stanley

People
About 83,000 in 2025.Annual report (SEC Form 10-K)
Company
Listed as MS.

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 781, the most 1,203, and the latest week had 890.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Position Summary

The Vice President, Capacity Planning & Analytics is responsible for leading long-range workforce and resource planning for our contact center operations. The role is also responsible for the creation and implementation of advanced analytics functions that enable data-driven business decisions across multiple lines of business. This individual will own forecasting, staffing, and capacity models to ensure optimal service levels at efficient cost and adhering to contractual obligations, in close partnership with multiple internal departments.  This role develops and oversees accurate demand forecasts, staffing plans, and analytical models that balance client experience, operational efficiency, cost management, and headcount outcomes.

As a strategic leader, Vice President reports to an Executive Director, and partners closely with leaders to translate complex data into actionable insights, optimize resource allocation, and influence key business decisions. The role drives continuous improvement of forecasting methodologies, analytical frameworks, and decision-support tools to ensure the organization can anticipate business trends and respond effectively to changing client and operational demands.

Key Responsibilities

  • Lead the development, execution, and governance of short-, medium-, and long-term demand forecasting models across multiple business lines and contact channels.
  • Translate business forecasts into staffing and capacity plans that align service, productivity, financial, and growth objectives.
  • Build forecasting models for volume, AHT, shrinkage, attrition and occupancy to inform hiring and scheduling
  • Develop scenario-based forecasting models to assess operational, financial, and headcount impacts under varying business conditions.
  • Build cross-skill and blended workforce models to optimize staffing for agent supporting multiple channels/lines of business
  • Monitor forecast accuracy and service level performance, adjusting plans for seasonality, promotions, call driving events and business change
  • Build scenario and what if models to support leadership risk assessment
  • Own capacity, forecasting and operational effectiveness reporting for key stakeholders
  • Evaluate WFM and Ai tools and drive continuous process improvement
  • Lead the headcount planning process and present recommendations to senior leadership
  • Lead and develop capacity planning analysts
  • Leverage sophisticated analytical techniques to identify trends, opportunities, and risks that impact workforce and business performance.
  • Deliver actionable insights that support executive decision-making and strategic planning.
  • Establish analytical frameworks and performance metrics that measure operational effectiveness, capacity utilization, and client experience outcomes.
  • Utilize large and complex data sets from multiple sources to develop predictive and prescriptive analytics solutions.
  • Apply statistical modeling, forecasting techniques, and advanced analytical methods to solve complex business problems.
  • Drive innovation through the use of automation, machine learning, and emerging analytics technologies where applicable.
  • Ensure analytical integrity, data quality, and governance standards across forecasting and reporting processes.
  • Serve as a trusted advisor to executive leadership on forecasting assumptions, capacity strategies, staffing implications, and business performance.
  • Foster a culture of continuous improvement, analytical rigor, and data-driven decision making.
  • Collaborate across Operations, Finance, Technology, Risk, and Business Management functions to ensure alignment on strategic priorities.

Required Experience

  • 7+ years of experience in forecasting, workforce planning, analytics, data science, operations research, or a related quantitative discipline.
  • Proven experience leading forecasting and analytical functions within a complex, multi-line-of-business environment.
  • Demonstrated success developing demand forecasts, staffing models, and strategic workforce planning methodologies.
  • Strong executive presence with the ability to influence senior stakeholders and drive cross-functional alignment.
  • Experience working with large, complex data sets and transforming data into actionable business insights.
  • Strong knowledge of programming and analytics tools such as Python, SQL, R, SAS, or similar technologies.
  • Experience with statistical forecasting methods, Erlang C/queuing models (including chat concurrency models and BI tools (Genesys, Power BI, Tableau, MS Office)
  • Experience modelling multi-skill/blended agent staff across channels (chat/back office work) and lines of business
  • Demonstrated ability to solve complex business challenges through structured analytical approaches.

Leadership Competencies

  • Strategic thinker with strong business acumen.
  • Exceptional problem-solving and critical-thinking skills.
  • Ability to balance client experience, operational performance, cost efficiency, and workforce investment decisions.
  • Proven track record of leading teams, developing talent, and delivering measurable business outcomes.

Success Measures

  • Forecast accuracy and model performance.
  • Effective staffing and capacity planning outcomes.
  • Improved operational efficiency and resource utilization.
  • Enhanced client experience and service-level performance.
  • Executive adoption of analytics-driven recommendations and decision frameworks.

Position Impact: This role serves as a critical strategic partner to leadership, ensuring the organization has the forecasting accuracy, workforce insights, and analytical capabilities required to optimize performance, support growth, and deliver exceptional client and employee outcomes.

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Tampa, FL, US; Salt Lake City, UT, US; Alpharetta, GA, US; Gilbert, AZ, US

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.