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Vice President Dataiku Jobs (NOW HIRING)

Reporting to the VP, Chief Data and Information Officer, this role will shape and lead our ... Familiarity with Snowflake, Dataiku, or similar data and AI platforms. * Experience operating in ...

Senior AI Architect

Plano, TX · On-site +1

$140K - $145K/yr

Reporting to the VP, Chief Data and Information Officer, this role will shape and lead our ... Familiarity with Snowflake, Dataiku, or similar data and AI platforms. * Experience operating in ...

Reporting to the VP, Chief Data and Information Officer, this role will shape and lead our ... Familiarity with Snowflake, Dataiku, or similar data and AI platforms. * Experience operating in ...

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Vice President Dataiku information

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$43.5K

$157.5K

$277.5K

How much do vice president dataiku jobs pay per year?

As of Jun 11, 2026, the average yearly pay for vice president dataiku in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What key skills and qualifications are needed to thrive as a Vice President at Dataiku, and why are they important?

To thrive as a Vice President at Dataiku, you need strong leadership abilities, deep expertise in data science and analytics, and experience in enterprise software or SaaS environments, typically supported by an advanced degree and significant management experience. Familiarity with Dataiku's platform, data engineering tools, cloud computing, and data governance frameworks is essential, along with proficiency in industry-standard tools like Python or SQL. Exceptional communication, strategic thinking, and the ability to inspire and drive cross-functional teams are standout soft skills in this role. These skills ensure the successful execution of data-driven strategies, foster innovation, and drive business growth in a competitive technology landscape.

What are Vice Presidents at Dataiku?

Vice Presidents at Dataiku are senior leaders responsible for overseeing key business functions such as sales, customer success, product development, or operations. They set strategic goals, drive team performance, and collaborate with other executives to support Dataiku’s growth in the enterprise AI and data science market. Their role often involves managing large teams, building relationships with major clients or partners, and ensuring that Dataiku’s offerings align with customer needs and industry trends.

How does the Vice President of Dataiku typically collaborate with cross-functional teams to drive data initiatives?

As a Vice President overseeing Dataiku, you'll play a central role in aligning data science, engineering, and business teams to ensure that analytics initiatives support organizational goals. This involves close collaboration with IT to integrate Dataiku into existing infrastructure, working with data scientists and analysts to optimize workflows, and partnering with business leaders to translate analytical insights into strategic actions. Successful VPs foster a collaborative culture, champion best practices, and often lead cross-departmental meetings to track progress and address challenges. Your ability to bridge technical and business perspectives will be crucial for driving impactful data-driven outcomes.

What is the difference between Vice President Dataiku vs Data Scientist?

AspectVice President DataikuData Scientist
Required CredentialsAdvanced degree in data science, business, or related field; leadership experienceDegree in data science, statistics, or related field; technical skills
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationHands-on data analysis, model development, data visualization
Employer & Industry UsageData-driven organizations, tech companies, large enterprisesResearch institutions, tech firms, finance, healthcare

The Vice President Dataiku focuses on strategic leadership, overseeing data initiatives and managing teams, while Data Scientists are more involved in technical data analysis and model building. Both roles require strong data skills, but the VP role emphasizes leadership and strategy within organizations that use Dataiku platform solutions.

What cities are hiring for Vice President Dataiku jobs? Cities with the most Vice President Dataiku job openings:
What are the most commonly searched types of Dataiku jobs? The most popular types of Dataiku jobs are:
What states have the most Vice President Dataiku jobs? States with the most job openings for Vice President Dataiku jobs include:
Client Engagement Analytics - Financial Planning Analytics Lead, Vice President

Client Engagement Analytics - Financial Planning Analytics Lead, Vice President

Morgan Stanley

Jersey City, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

39th of 138 rated financial services


Job description

The Vice President, Client Engagement Analytics within Wealth Management is responsible for setting and executing the analytics strategy that enables data-driven decisions for the Financial Planning team within Morgan Stanley's Global Investment Office (GIO). This role partners closely with Financial Planning strategy leadership as well as technology, sales, and risk/compliance, to deliver trusted metrics, scalable reporting, and advanced analytics.
This is a business-facing, strategic analytics role for a hands-on, data-driven leader who can translate ambiguity into clear analytical approaches, actionable insights, and measurable outcomes. You will build the analytics infrastructure for Financial Planning, with a focus on uncovering opportunities to deepen client engagement and improve financial planning efficacy and effectiveness. Success in this role requires autonomy, strong curiosity about data, and the ability to deliver timely solutions that drive business results.
The ideal candidate brings an AI- and automation-first mindset - advancing the use of AI tools and processes is considered table stakes - along with demonstrated people leadership and the ability to scale support efficiently, including effective partnership with offshore teams.
Key Responsibilities
  • Serve as a trusted, central point of contact for senior stakeholders within GIO; own the Financial Planning analytics and data strategy across Wealth Management, ensuring analytics priorities align to strategic goals and measurable outcomes.
  • Define and drive the roadmap to unify planning activity data and client/advisor insights across platforms (e.g., planning tools, CRM, dashboards) by framing business questions and translating them into rigorous analytical approaches.
  • Establish a scalable analytics model that enables timely, data-driven insights through a consistent, connected view of operational data and reporting.
  • Own delivery of core performance reporting and benchmarks (e.g., leadership insights, KPIs, dashboards, recurring business reviews), ensuring quality, consistency, and an executive-ready narrative.
  • Partner with business SMEs and technology partners to standardize core KPI definitions, integrate disparate data sources, and develop dynamic data assets for analytics and downstream consumption.
  • Partner with technology teams to ensure analytics-ready data models and pipelines are built efficiently; identify gaps in data availability and drive resolution.
  • Lead, mentor, and develop a high-performing analytics team and offshore resources by setting clear priorities and standards for deliverables, with a strong focus on quality, timeliness, and scale.
  • Partner with Legal/Compliance/Operational Risk to implement and evidence appropriate governance for data access and reporting distribution.

Qualifications
  • Bachelor's degree in a quantitative or business discipline (e.g., Statistics, Economics, Data Science, Computer Science, Engineering); Master's degree preferred.
  • 7+ years of analytics experience in financial services (preferably wealth management) and 3-5+ years leading teams and/or large cross-functional analytics programs.
  • Strong proficiency in SQL and Python, including 5+ years of hands-on data analysis and insight generation; demonstrated experience defining analytical approaches and applying a range of analytical tools to synthesize insights.
  • Extensive business intelligence experience, including reporting and process automation, data visualization tools (Tableau), and big data platforms such as Dataiku, Snowflake, Hadoop, and Salesforce.
  • Strong technical and analytical skills with the ability to manipulate large datasets and distill them into clear conclusions and actionable recommendations.
  • High accuracy and analytical rigor; strong attention to detail and sense of ownership given the high-visibility nature of deliverables.
  • Demonstrated ability to work independently and solve problems creatively, including maintaining/debugging complex code, developing hypotheses, and defending assumptions with an innovation mindset.
  • Excellent written and verbal communication skills, including the ability to present complex information clearly and concisely to audiences across backgrounds and seniority.

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.
Salary range for the position: 110,000 - 190,000 Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

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