Senior VP - Data Science & Modelling Job at Citi (Pune)

Senior VP - Data Science & Gen AI

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 12+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus
Model execution and governance experience in any domain will be preferable
Proven track record of building and deploying generative models-based solutions in production environments particularly using RAG frameworks, few shot prompts, etc.
At least 8 years of people management experience

Job Responsibility

Lead as SME in the area of ML/AI/Gen AI
Lead a team of data scientists with primary responsibility of working on various tools and technologies for successful development and implementation of ML /AI/Gen AI models on different platforms
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensure 100% execution accuracy
Customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements
Provide thought leadership for all data solution that includes designing, developing, and implementing Machine Learning/AI/Gen AI solutions
Communicate complex analytical concepts and results to both technical and non-technical audiences
Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines
Continuously evaluate and improve model monitoring & governance processes
Oversee the end-to-end model development lifecycle from data collection and preprocessing to model building, validation, and deployment

Fulltime

Vp data & insights

Curriculum Associates is seeking a VP of Data & Insights to lead their data ecos...

Location

United States of America , Massachusetts

Salary:

149500.00 - 275500.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

Proven experience leading full-stack data organizations including engineering, governance, operations, and analytics
Strong command of relational and cloud-based data platforms (Snowflake, Azure Data Services, Databricks, etc.)
Deep understanding of data modeling, ETL/ELT frameworks, pipelines, orchestration tools, and API integrations
Expertise in BI and visualization tools (Power BI preferred)
Thorough knowledge of enterprise data governance, data quality management, metadata, and master data concepts
12–18 years of experience in data and analytics roles, with at least 7–10 years in leadership positions
Demonstrated ability to build and scale global teams in a matrixed, fast-moving environment
Strong communication and data storytelling skills with the ability to influence senior executives
Experience driving enterprise adoption of new tools, platforms, and ways of working
Experience supporting diverse business functions such as Product, Sales, Finance, Marketing, Operations, or Customer Experience

Job Responsibility

Define and execute a comprehensive enterprise-wide data and analytics strategy, aligned to organizational goals and future growth
Establish the roadmap for data engineering, governance, quality, operations, and insights—balancing innovation, speed, and reliability
Drive modernization of data platforms (e.g., Snowflake, Azure, Databricks) and BI tools (Power BI, Tableau)
Lead the design, build, and maintenance of scalable, secure, and reliable data pipelines, data models, and integration frameworks
Own the enterprise data architecture and evolving the data stack in partnership with Engineering and Cloud teams
Oversee ingestion, transformation, orchestration, and monitoring to ensure timely and accurate data availability
Establish a strong data governance operating model including ownership, stewardship, standards, and policies
Implement frameworks for data quality measurement, metadata management, cataloguing, lineage, and controlled access
Partner with Security, Compliance, Legal, and business leaders to ensure data is used responsibly, ethically, and compliantly
Own end-to-end data operations, focusing on system reliability, SLAs, monitoring, performance optimization, and operational excellence

What we offer

Medical, dental, vision, and basic life insurance coverage for employees (and their families)
Company 401k plan with employer match
Flexible vacation and sick policy
Twelve paid holidays
Winter office closure between Christmas and New Year's

Fulltime

Senior GenAI Data VP – Market Data

Embark on a transformative journey as a Senior GenAI Data VP – Market Data at Ba...

Location

United States , Whippany

Salary:

170000.00 - 230000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Experience with design and delivery of GenAI data architectures, including agentic workflows, RAG pipelines, prompt orchestration, and tool calling frameworks
Ability to manage strategy and integration of market data platforms (FactSet, LSEG, Bloomberg, S&P Capital IQ), ensuring high quality ingestion, normalization, enrichment, and access for analytics and GenAI use cases
Experience with designing and overseeing scalable GenAI and machine learning data pipelines, supporting structured and unstructured data across the full AI lifecycle
Ability to establish and embed data quality, lineage, privacy, and compliance controls to ensure responsible AI use and regulatory alignment
Stakeholder management skills to support business, product, engineering, and data science teams to identify high impact GenAI use cases and translate them into production grade solutions, defining best practices for evaluation metrics, MCP integration, and scalable data integration across GenAI systems

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

medical, dental and vision coverage
401(k)
life insurance
other paid leave for qualifying circumstances
incentive award
competitive holiday allowance
private medical care
pension contribution

Fulltime

Senior Director, Business Analytics

We’re looking for a Senior Director, Business Analytics to lead our Analytics or...

Location

Canada , Toronto; Ottawa; Calgary

Salary:

Not provided

Fullscript

Expiration Date

Until further notice

Requirements

10+ years of experience in analytics, data science, strategy, or related expertise, with significant experience partnering with senior leaders
Proven success leading analytics and data science teams, including senior individual contributors and people leaders, in complex, cross-functional environments
Strong analytical judgment and technical fluency — able to review, challenge, and guide analytical work without needing to be hands-on in the tools
Experience setting standards for analytical rigor, data quality, and consistency, and holding teams accountable to them
Demonstrated ability to translate complex analyses into clear, decision-ready narratives for executive audiences
Comfort operating in fast-moving, ambiguous environments where priorities evolve and tradeoffs must be made
Strong collaborator and influencer, able to drive alignment across Finance, Product, and Commercial teams without formal authority

Job Responsibility

Drive Business Insight & Accountability: Own and evolve Fullscript’s business performance measurement approach, ensuring clarity, consistency, and trust in core metrics across the organization
Partner with the VP of Strategic Finance, CFO, and executive leadership to ensure analytics and insights are execution-ready for business performance reviews, strategic deep dives, and key investment decisions
Synthesize complex analyses into clear, decision-ready narratives that connect performance, drivers, and tradeoffs — not just outcomes
Help establish a shared understanding of what good performance looks like and how progress is measured over time
Enable Strategy & Execution: Embed analytics deeply into the company’s highest-priority initiatives, ensuring data and insight are tightly integrated into strategy definition, execution, and performance measurement
Support strategic planning by sizing opportunities, evaluating tradeoffs, and defining success metrics that meaningfully guide execution
Ensure analytics work is focused on the highest-leverage business questions, not just ad hoc requests
Partner with senior leaders across Finance, Product, and Commercial to structure problems and clarify what decisions data should inform
Lead & Scale the Analytics Organization: Lead a team of analytics leaders and their embedded teams across the business, with clear accountability for day-to-day execution within each lane
Establish clear standards for analytical quality, consistency, and timeliness — ensuring metrics, methodologies, and conclusions are aligned and trusted across teams, and that insights arrive early enough to meaningfully influence decisions

What we offer

Market competitive compensation package including equity
RRSP matching (within CAD)
Flexible PTO policy
Flexible benefits package and additional perks
Employee discount on Fullscript catalog of products for family & friends
Ability to *Work Wherever You Work Well*

Fulltime

Vp, Revenue Operations

The VP of Revenue Operations (RevOps) / Sales Operations is a highly strategic b...

Location

United States , Redwood City

Salary:

264160.00 - 396240.00 USD / Year

Zuora

Expiration Date

Until further notice

Requirements

10–15 years+ of progressive experience in Revenue Operations, Sales Operations, or related GTM operations roles
Significant, demonstrated experience in a Global SaaS / subscription-based business model is mandatory, ideally mid-market or enterprise-focused
Deep expertise with Salesforce (data governance, complex architecture, reporting, process design, integrations)
Demonstrated ability to design GTM workforce models
Proven track record of owning and improving forecasting accuracy, pipeline analytics, territory/quota modeling, and renewals insights
Exceptional analytical and financial modeling mindset
expert in turning complex data into narratives that drive executive and board-level decision-making
Demonstrated ability to design, implement, and govern scalable processes in high-growth, multi-region environments
Excellent leadership skills with experience managing and developing multi-disciplinary, geographically dispersed operations teams
Strong cross-functional collaboration and executive communication skills

Job Responsibility

Lead the end-to-end corporate sales forecasting process, partnering closely with Sales, Finance, Customer Success, Services, and Marketing leadership, ensuring a single source of truth for revenue prediction
Build and maintain standardized forecasting methodologies, including pipeline inspection, data science-backed conversion modeling, services analysis, and scenario planning across regions and segments
Own the design and governance of global sales compensation plans that reinforce GTM strategy, drive collaboration, and ensure fiscal alignment with corporate targets
Deliver executive-level insights on forecast risk, upside, and key performance drivers to the Senior Leadership team and Board
Design and implement global territory models aligned to market potential, whitespace analysis, sales capacity planning, and service delivery constraints
Own annual quota-setting and allocation processes, ensuring fairness, scalability, and alignment with corporate targets
Monitor quota attainment trends and recommend proactive resource adjustments or strategic coverage changes
Oversee robust pipeline health analytics, identifying key drivers, bottlenecks, and opportunities for acceleration across regions, segments, and partners
Analyze sales and marketing data to identify performance trends, conversion drivers, and areas of inefficiency across the funnel
Build and govern actionable, executive-ready dashboards and KPIs to measure funnel conversion, sales cycle efficiency, pipeline and bookings health, renewals, services attach rates, deal complexity, delivery readiness, and rep productivity—segmented by geography, market, battleground, and individual performance

What we offer

Competitive compensation, bonus opportunities, and retirement programs
Comprehensive medical, dental, and vision coverage
Generous, flexible time off
Paid holidays, wellness days, and a company-wide year-end break
6 months of fully paid parental leave
Learning & development stipend
Opportunities to give back, including volunteer time and donation matching
Mental wellbeing resources and support

Fulltime

Chief Technology Officer

Lead the technological evolution of a high-growth marketplace, turning data and ...

Location

United States

Salary:

Not provided

LoadUp

Expiration Date

Until further notice

Requirements

10–15+ years of technology leadership
5+ years as a CTO or senior VP in a high-growth company
Background in technology-enabled services, marketplaces, logistics, or similar industries
Experience leading data and analytics strategy highly preferred
Proven ability to deliver complex technology and data programs on time, with measurable impact on revenue, efficiency, or customer satisfaction
Strong understanding of how to apply emerging technologies and data science/AI to transform customer and partner experiences
Skilled at building high-performing teams, instilling process discipline, and fostering innovation
Fully embraces LoadUp’s mission and values
Believes technology and data are both growth engines and means of serving a higher purpose

Job Responsibility

Define and communicate the long-term product, technology, and data strategy
Translate business priorities into a clear and achievable product, technology, and analytics roadmap
Serve as a key advisor to the executive team
Champion a data-driven culture
Build and lead a high-performing engineering, product, and data organization
Implement best practices for agile development, quality assurance, data governance, and analytics lifecycle management
Ensure LoadUp’s technology stack and data architecture remain modern, scalable, secure, and efficient
Oversee the collection, integration, and quality of data across systems
Drive the development of business intelligence, customer analytics, and predictive models
Anticipate and evaluate emerging technologies and data science methods

What we offer

Competitive Compensation
Comprehensive Health & Wellness Benefits – Medical, Dental, Vision, and Life Insurance
Flexible Spending & Savings Options – FSA or HSA accounts
Generous Paid Time Off
401(k) with 5% Company Match
Employee Recognition Program
Monthly Lifestyle Stipends
Referral Rewards Program
Growth with Purpose

Fulltime

Principal Applied Scientist

Our Signals Modeling team builds the intelligence that powers how the advertisin...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR equivalent experience
Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML
Track record of driving multi-year research or modeling agendas that materially improved product outcomes
Experience defining measurement strategy for advertising platforms, marketplaces, or large-scale recommendation systems
Publications, patents, or widely adopted internal methodologies in causal inference, experimentation, econometrics, or applied machine learning
History of mentoring senior scientists and elevating organizational scientific capability
Experience influencing director- or VP-level technical strategy

Job Responsibility

Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems
Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability
Lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale
Set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams
Identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations
Operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy
Serve as a subject-matter expert and technical advisor on attribution and causal inference
Mentor scientists and influence technical direction to raise the organization’s scientific bar

Fulltime

Vp, Analytics (Autos)

This role is crucial for driving data-informed strategies and optimizing marketi...

Location

United States , Playa Vista

Salary:

160000.00 - 180000.00 USD / Year

Canvas Worldwide

Expiration Date

Until further notice

Requirements

A bachelor’s or master’s degree in a relevant field such as business, statistics, economics, or computer science
10+ years of managerial experience in analytics, preferably in media performance, digital marketing, or a related field
Expertise in data analysis, statistical methods, and modeling techniques
Proficiency in BI tools (Tableau, Looker, Power BI), SQL, Python/R, and analytics platforms is a plus
Proficiency in marketing-specific analytics, including market mix modeling, digital attribution, predictive modeling, and segmentation methods
Experience with media measurement tools, including 3rd party ad serving, syndicated research, and web analytics (Adobe Analytics, Google Analytics) preferred
Excellent communication skills to present findings and recommendations to senior management and automotive marketing teams
Ability to address complex business issues using data and analytics

Job Responsibility

Develop and implement analytics strategies to support marketing campaigns and advertising initiatives
Craft compelling data storytelling/ narratives for mid to senior-level stakeholders
Establish measurement frameworks and lead client-specific learning agendas
Identify and prioritize advanced analytics and measurement solutions to drive business outcomes. Including market mix modeling, attribution, forecasting, segmentation, incrementally testing, and other advanced analytical methodologies
Be visible and regular in providing relevant thought leadership deliverables to clients and key Canvas stakeholders
Translate complex data findings and recommendations to senior leadership and key stakeholders into business impact
Work closely with marketing teams, advertisers, and other stakeholders to understand their needs and provide data-driven solutions
Drive innovation in data standards, automation tools, and analytics techniques to enhance marketing effectiveness
Maintain currency and understanding of important industry topics in the marketing analytics field
Lead, mentor, and grow an analytics team, fostering a collaborative and innovative work environment

What we offer

Generous medical, dental, vision, pet insurance, commuter benefits, disability and life insurance coverage, 401(k) matching, up to 14 holidays per year, a “Do Good Day,” and unlimited PTO

Fulltime

Senior VP - Data Science & Modelling

Citi

Location:
India , Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 29, 2026

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