Senior Manager, Applied AI and Data Science Job at Spectrum (Greenwood Village)

Data Science Group Manager

The Applications Development Technology Senior Lead Analyst is a senior level po...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least 10+ years of relevant experience in an Apps Development role or senior level experience within Data analytics/ML space
At least 3+ years of experience applying AI to practical uses, experience with deep learning, NLP and Tensorflow
Proficiency in Scala, Python, and other language or domain-specific packages as well as Big Data Eco system
Exhibit expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Citi’s internal and external cloud platforms (AWS, PCF, Akamai)
Acquire relevant technology and financial industry skills (AWS PWS) and understand all aspects of NGA technology – including innovative approaches and new opportunities
Strong communication skills, e.g. ability to translate business use cases to tech specs, working with diverse project teams, and developing relationships with vendors
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Job Responsibility

Lead the Data Science functions regionally to meet goals, deploy new products, and enhance processes
Serve as a functional SME across the company through advanced knowledge of algorithms, data structures, distributed systems, networking, use of knowledge and experience to lead, architect, and drive broader adoption forward

Fulltime

Senior Data Science Analyst

The Data Science Senior Analyst is a seasoned professional role. Applies in-dept...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years experience in business and data analysis, process improvement and project management
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated interpersonal, verbal and written communication skills
Methodical attention to detail
Experience using tools for statistical modeling of large data sets
Hands on coding experience with Python, SQL is mandatory (proficiency with Libraries such as Pandas, NumPy required)
Experience using tools for statistical modeling of large data sets
Expert background in utilizing SQL/Python to extract, manipulate, and analyze datasets
Preferable experience with tools such as Tableau, PySpark, Airflow, Git, JIRA and Confluence
Experience in Data Modelling, ETL technologies, Data pipeline

Job Responsibility

Developing and implementing advanced analytical models and solutions
Strong coding skills:Proficiency in Python, PySpark, and SQL for data analysis and model development
Big data expertise:Working knowledge of big data platforms like Cloudera and Databricks
Model development:Experience in building and deploying machine learning and AI models
Generative AI knowledge:Familiarity with generative AI techniques and their applications
Collaboration:Working with cross-functional teams to identify opportunities and deliver data-driven insights
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications

What we offer

Extensive on-the-job training and exposure to senior leaders
More traditional learning
Opportunity to give back and make a positive impact through volunteerism

Fulltime

Senior Data Science Solution Architect

The consultant will need to have extensive experience working across Microsoft e...

Location

United States , Irving

Salary:

Not provided

Hire IT People, Inc

Expiration Date

Until further notice

Requirements

Extensive experience working across Microsoft environments utilizing Azure Cloud Solutions
Broad skill set encompassing SQL, Python, Dataiku, Alation, Databricks, Snowflake, Power BI, Tableau, AWS and Azure Clouds
Strong experience creating design documentation, and knowledge-based artifacts
Prior experience working with Accounting and Finance Leaders, as well as Sales and Operations Leaders – with an understanding of financial data and operational data (job coding, vendor data, costs, etc)
Expertise as a Microsoft Certified Trainer, Data science professional and Amazon Subject matter expert
Prior expertise from the Center of Excellence for Data, AI and ML
Minimum qualification is a bachelor's degree or equivalent in engineering or equivalent in a related field or a foreign equivalent is required closely related field with relevant experience

Job Responsibility

Work in collaboration with the business operations leaders to gain insight to how the company utilizes their data, uncover additional needs, and ultimately build an enhanced and scalable environment to meet business initiatives
Data Analysis and Data engineering: Utilizing tools and technologies like SQL and Python for data analysis and engineering tasks
Implementing data engineering activities using platforms like Databricks and Snowflake
Data Science Methodologies: Applying data science methodologies, using Python and tools like Dataiku for data science workflows
Apply Machine Learning strategies and models for a better Model deployment and pipelines
Data Governance: Serving as subject matter expert in Data Governance, leveraging Alation to manage and Govern Data effectively by doing data cataloging and stewardship
Team Leadership: Acting as a team or technical lead, responsible for Overseeing and delivering the team's work in data engineering and analysis
Dashboard Creation: Creating dashboards using visualization tools such as Power BI, Tableau and Microsoft suite
Cloud Services: Leveraging Amazon web services (S3, IAM, Redshift, Cloudwatch, Glue, Sagemaker,etc.. ) and Azure( Microsoft Fabric, Azure Data Factory,SQL Server,Azure SQL,SSAS,Synapse,Power BI) Cloud Services to implement and deliver business activities along with compliance, Security, Disaster recovery , testing and Devops
Assist the team or firm with the expertise as a Microsoft Certified Trainer, Data science professional and Amazon Subject matter expert

Manager of Data Science

The Manager of Data Science will lead a dynamic team of data scientists responsi...

Location

United States , Chicago

Salary:

84836.00 - 153548.75 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's Degree Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
7+ years Experience in data science or analytics roles
3+ years Experience leading technical teams and employees, either through direct People Management or through projects
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation)
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python, R, SQL, and Java)
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server
Knowledge and familiarity with Power BI, Tableau, or comparable reporting and visualization platforms
Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.

Job Responsibility

Manage, mentor, and develop a dynamic team of data scientists with diverse technical backgrounds
Develop and execute on projects and initiatives on the data science roadmap that align with business objectives
Collaborate with business leaders, key stakeholders, and cross-functional teams to identify high-impact opportunities for advanced analytics and translate business challenges into data science solutions
Lead and support various projects and initiatives, regularly managing competing priorities, deadlines, and expectations
Oversee the development of machine learning models, statistical analyses, and predictive algorithms
Drive innovation in modeling techniques, tools, and methodologies. Drive continuous improvement in team processes and methodologies
Ensure model quality, performance, and reliability through robust validation and testing frameworks
Establish best practices for model lifecycle management, including deployment, monitoring, and maintenance
Facilitate knowledge transfer and communicate complex technical concepts to non-technical audiences
Translate analytic findings into simple, actionable, and practical solutions and recommendations

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior ML Science Manager

Intercom’s AI Group is responsible for defining new ML products, researching app...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Experience leading, developing and supporting ML teams that deliver impact quickly
A 5+ year track record of your own individual contributions in ML, AI, NLP, or data-related field
Excellent applied ML and coding skills
The ability to thrive in an ambiguous environment with a high degree of autonomy
Strong communication skills, both within technical teams and across disciplines
MSc or PhD in an ML-related field, or similar knowledge

Job Responsibility

Managing, mentoring and coaching a team of 10+ ML scientists, spread across our three offices in Dublin, London and Berlin
Collaborating with ML, engineering, product, and design leaders to shape work of the team and the impact it has on our products
Enabling your team to achieve high levels of productivity, performance and reliability
Expanding the team and promoting its brand both internally and externally (recruitment, event planning, etc.)

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Senior Manager, Forward-Deployed Data Science

The Research, Analytics & Data Science (RAD) team at Intercom uses data and insi...

Location

Ireland; United Kingdom , Dublin; London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Proven ability to drive strategic, data-driven outcomes in complex, real-world business environments - ideally in customer-facing or enterprise contexts
Strong leadership in ambiguous, high-stakes environments - able to set strategy, prioritize, and guide a team through fast-evolving challenges and opportunities
Deep customer empathy and executive communication skills, with the ability to influence senior stakeholders, guide AI adoption strategy, and simplify complexity
Track record of building and scaling technical solutions using AI/ML, especially in areas like LLM applications, conversational AI, or intelligent automation
Strong SQL and fluency in Python/R, with experience applying analytical, statistical, and AI/ML techniques to business problems
Experience evaluating and deploying LLM-driven or conversational AI systems, including measurement frameworks and reliability assessments
Demonstrated ability to prototype quickly, balancing rigor with speed to accelerate customer outcomes

Job Responsibility

Drive the adoption of Fin by helping customers automate and scale their support operations
Embed with strategic customers to understand their support workflows, data, and business challenges - to identify and implement opportunities where AI can deliver measurable impact
Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin
Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development
Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
Cycle-to-Work Scheme
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Senior Engineering Manager, AI

As a Senior Engineering Manager (Forward Deployed Engineering team) at Atlassian...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
5+ years of experience managing software engineering teams at scale
Experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
Strategic and innovative thinking, with a track record of aligning technical solutions to business goals

Job Responsibility

Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation—ensuring rapid, high-quality delivery of customer-focused, production-ready solutions
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results

What we offer

Health coverage
Paid volunteer days
Wellness resources

Senior Engineering Manager - AI/ML

Hewlett Packard Enterprise is looking for a Senior Engineering Manager - AI/ML t...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
7-15 years’ experience including 5 or more years of people management experience
Advanced Degree (Master’s or Ph.D.) strongly preferred
Strong problem-solving and analytical skills, with the ability to identify business opportunities, formulate strategies, and execute projects effectively
Excellent communication and presentation skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders
Proven ability to manage multiple projects and priorities in a fast-paced environment, ensuring timely delivery and high-quality results
Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
Strong technical expertise in AI and machine learning algorithms, models, and tools, with proficiency in programming languages such as Python or R
Demonstrated leadership and management skills, with experience in leading and mentoring AI and machine learning professional teams.

Job Responsibility

Develop software algorithms to structure, analyze and leverage structured and unstructured data
Use machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy
Apply, optimize, and scale deep learning technologies and algorithms
Document procedures for installation and maintenance
Perform testing and debugging
Define and monitor performance metrics
Translate customer requirements and industry trends into AI/ML products and systems improvements
Develop and drive the organization’s AI and machine learning strategy
Identify new opportunities for AI and machine learning applications
Oversee complex AI and machine learning projects from conception to deployment

What we offer

Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Career growth opportunities
Inclusive work environment.

Fulltime

Senior Manager, Applied AI and Data Science

Spectrum

Location:
United States , Greenwood Village

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 01, 2026

Expiration:
April 13, 2026

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Senior Manager, Applied AI and Data Science

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Location:United States , Greenwood Village

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Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

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Job Posted:April 01, 2026

Expiration:April 13, 2026

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Location:
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Category:
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Job Posted:
April 01, 2026

Expiration:
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