Senior Manager, Data Engineering, Provider Analytics Job at Healthfirst

Senior Manager, Data Engineering

Stanford Health Care is seeking a dynamic and experienced Senior Manager of Data...

Location

United States , Palo Alto

Salary:

83.98 - 111.27 USD / Hour

Stanford Health Care

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. A Master’s degree is preferred
8+ years of hands-on experience in data engineering, data warehousing, or a related field
3+ years of experience in a leadership or management role, directly managing multiple technical teams
Experience in a healthcare or academic medical center environment is highly desirable
Proven ability to lead, mentor, and grow multiple high-performing engineering teams
Expert knowledge of data engineering principles, including ETL/ELT, data modeling, and data architecture
Strong strategic planning skills with experience in developing roadmaps for both data engineering and enterprise analytics
Deep understanding of cloud data platforms (GCP, AWS, Azure) and modern data warehouse technologies (Databricks, Snowflake, BigQuery, Redshift)
Proficiency with big data technologies (e.g., Spark, Kafka) and workflow orchestration tools (e.g., Airflow)
Expert-level SQL skills and proficiency in a programming language such as Python or Scala

Job Responsibility

Lead, mentor, and manage multiple teams of data engineers, providing technical guidance, career development, and performance management
Foster a culture of collaboration, innovation, and operational excellence
Manage resource allocation, project prioritization, and team workloads to ensure timely delivery of key initiatives
Recruit, coach, and motivate team members, developing leadership competencies within the team
Oversee the design, development, and maintenance of scalable and robust data pipelines (ETL/ELT) to support analytics and data science
Define and drive the technical roadmap for our cloud-based data platforms (e.g., GCP, AWS, Azure) and data warehousing solutions (e.g., Databricks)
Define and implement the strategy for enterprise analytics and operational reporting, in collaboration with key business and clinical stakeholders
Partner with enterprise architecture, applications, and data science teams to ensure sustainable and scalable data management and solution delivery
Partner with key stakeholders across Stanford Medicine (Stanford Health Care, Stanford School of Medicine, and Stanford Medicine Partners), including data scientists, analysts, clinical leaders, and researchers, to translate data needs into technical requirements
Manage the full lifecycle of data engineering projects, from conception and planning to execution and delivery

Fulltime

Senior Manager - Data Analytics

This position will report to the Marketing Measurement Tracking team lead within...

Location

India , Gurugram

Salary:

Not provided

Amex

Expiration Date

Until further notice

Requirements

Minimum 8 years of relevant work experience including direct people management
Bachelor's or Master's degree in a quantitative field (e.g., Finance, Economics, Mathematics, Engineering, or Computer Science)
Proficiency in SQL and Python with a strong analytical skill to manipulate data and generate actionable insights
Experience with business intelligence tools such as Excel, Tableau, or Power BI
Strong communication and storytelling skills—able to influence and collaborate with cross-functional stakeholders
Comfortable working in a fast-paced, dynamic environment with a proactive and problem-solving mindset
Ability to manage multiple projects across teams and geographies with minimal supervision

Job Responsibility

Lead accurate and timely reporting of sales and business performance, enabling transparency and informed decision-making for leadership teams
Spearhead campaign analysis to uncover trends, actionable insights, and performance indicators that influence product and marketing strategies and drive growth, retention, and customer satisfaction
Building Data Capabilities and Data Products for effective marketing measurement tracking
Lead all aspects of automation and continuous improvement in analytical processes to improve efficiency and scalability
Collaborate with functional leaders, business partners and senior leaders to assess business needs, evaluate project feasibility, ensure data integrity, and provide actionable recommendations in times of constant change
Manage a team of 5-6 analysts

What we offer

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

Fulltime

Senior Manager, Data & Analytics, APEC

The Senior Manager, Data Strategy, APEC is accountable for shaping and driving t...

Location

Singapore

Salary:

Not provided

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

Bachelor’s degree from an accredited university in Business Administration, Computer Science/Information Systems, or a quantitative discipline (finance, operations research, economics, mathematics, statistics, etc.)
Minimum 7 - 8 years of relevant professional experience demonstrating clear technical competency, progressive career growth and a pattern of exceptional performance
Preferred: Working industrial experience in Travel & Hospitality, F&B or Retail with demonstrated technical capabilities
Demonstrate fluency and strength of expertise in: Programming languages (Python, etc.)
Business intelligence tools (Tableau, Power BI)
Data warehousing (Snowflake, Bigquery, SQL Server, etc.)
Cloud computing (AWS, Azure, GCP)
Familiarity with UI/UX principles for dashboard and reporting design and an understanding of AI Operations (AIOps)
Demonstrates a strong analytical ability, with knowledge of financial analysis, quantitative analysis, statistical tools, economic concepts and predictive modeling
Strong relationship and project management skills with the ability to independently manage multiple projects (data specifications, deadlines, and project requirements)

Job Responsibility

Shaping and driving the organisation’s data strategy to support strategic decision-making, operational performance, and long-term growth
Translating commercial objectives into a clear and actionable data vision
Defining how data is used as a strategic asset
Ensuring data investments are aligned with business priorities and deliver measurable value across commercial, operational, and customer-facing functions
Partnering closely with business leaders, analytics teams, and technology stakeholders to design pragmatic data roadmaps, operating models, and governance frameworks
Providing thought and executional leadership on data platforms, metrics, and analytics capabilities
Balancing long-term strategic direction with near-term delivery
Meeting with business leaders and analytics teams to gather requirements and prioritize data initiatives
Designing data roadmaps to align with strategic goals
Developing or optimizing data workflows

Fulltime

Senior Analytics Engineering Manager, Rides Product

We are looking for an experienced Senior Analytics Engineer to join our Rides Pr...

Location

Estonia , Tallinn

Salary:

Not provided

Bolt

Expiration Date

Until further notice

Requirements

Experience managing a data team, either in the analytics or data engineering function or, ideally, combining the two
Significant experience with data modeling, developing analytics architectures for large volumes of data and can demonstrate tangible impact in the area
Deep technical understanding and leadership experience with core data technologies (SQL, Python, dbt, Apache Airflow, etc.)
Strategic partner in setting and enforcing system design and architectural best practices with a focus on reusability, maintainability, reliability, and scalability
Strong cross-functional collaborator with a good business sense and excellent communication skills in verbal and written English
Hold a Bachelor and/or Master degree in Statistics, Economics, Data Science, Computer Science, Mathematics, Information Management, Business, or similar studies

Job Responsibility

Lead and mentor a high-performing team: build and manage a team of Analytics Engineers, providing technical mentorship, driving career growth, and fostering a culture of ownership
Strategic planning and impact: translate complex business requirements into a clear technical roadmap, balancing short-term delivery with long-term architectural health
Empower self-service and AI analytics: own the end-to-end delivery of high-quality data products that empower stakeholders to make data-driven decisions independently
Architect scalable data foundations: partner with the Analytics Engineering and Data Platform team to make key architectural decisions about the company data model, processes and tech stack, ensuring a performant, reusable, and scalable analytics layer that serves as the 'single source of truth.'
Bridge the gap between producers and consumers: act as a strategic partner to both Engineering (Data Producers) and Business/Analytics (Data Consumers) to ensure data models reflect evolving business needs

What we offer

Get a rewarding salary and stock option package that lets you focus on doing your best work
Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork
Take care of your physical and mental health with our wellness perks

Fulltime

New

Senior Digital Data Engineering Manager

As a Senior Digital Data Engineering Manager, you'll develop and drive the strat...

Location

United Kingdom; Netherlands; Germany; Sweden; Belgium , Luton; Rijswijk; Hanover; Stockholm; Zaventem

Salary:

Not provided

TUI

Expiration Date

June 26, 2026

Requirements

Proficiency in programming languages commonly used for data engineering such as Python, SQL, and Java, along with understanding of database technologies including relational and NoSQL databases
Experience with cloud platforms such as AWS, Azure, or GCP and their data services
Knowledge of data quality assurance methodologies and tools
Experience with data visualization tools such as Tableau or Power BI
Understanding of A/B testing and experimentation methodologies
Knowledge of digital customer journeys and touchpoints
Proven success developing analytics strategies and measurement frameworks
Ability to bridge technical and business perspectives and translate analytics into business value
Bachelor's degree in Business, Marketing, Computer Science, or related field
Proven experience in digital analytics, business intelligence, or related roles at a senior level

Job Responsibility

Develop and drive the strategic direction for TUI's digital analytics capabilities
Define analytics standards, frameworks, and best practices across digital platforms
Collaborate with stakeholders to identify opportunities for leveraging analytics to improve customer experience and business performance
Serve as the bridge between technical implementation and business value
Lead a team of data engineers to deliver against the roadmap
Manage the team, leading team meetings, managing the work load via JIRA and conducting one to ones
Mentor the engineers
Lead the design and implementation of data pipelines and integration processes for customer and marketing data
Design scalable ETL processes for analytics data
Develop data integration solutions between various platforms

What we offer

Attractive remuneration
Discretionary bonus schemes
Generous travel benefits
Extensive health & well-being support
Flexible working
Access to the TUI Learning Hub
Intercultural collaboration
Opportunities to work on global projects and teams
Community involvement with local charity and sustainability initiatives like the TUI Care Foundation

Fulltime

!

Senior Manager, Data Science & Analytics

Senior Manager, Data Science & Analytics in the Customer, Digital & Marketing sp...

Location

Ireland , Dublin

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Master's degree required (Ph.D. preferred) in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related analytical discipline
8+ years of experience in data and analytics, including 3+ years in leadership roles driving large-scale projects, ideally within retail or customer/digital/loyalty domains
Extensive experience with data & analytics approaches such as exploratory data analysis, descriptive analytics, hypothesis testing, and A/B testing, as well as Agile development methodologies
Proficiency in programming languages such as Python, SQL, and R, along with hands-on experience on cloud-based platforms (e.g., Azure, Snowflake, Databricks)
Solid working knowledge of data engineering workflows including ETL processes, real-time and batch processing, model deployment, and version control best practices
Proven track record of delivering measurable results from customer loyalty programs in large retail environments
Ability to translate data, analytics, and AI/ML insights into actionable business strategies and outcomes, supported by a strong commercial mindset
Demonstrated ability in talent acquisition, team development, coaching, and mentoring
Excellent communication skills with the ability to clearly articulate technical information to all levels of the organization and collaborate effectively with cross-functional teams
Strong stakeholder management skills, with experience engaging diverse teams and senior leaders across geographies and managing multiple projects with clear prioritization and timeline communication

Job Responsibility

Collaborate with business stakeholders and digital product teams to define business requirements, KPIs, and acceptance criteria for customer loyalty and marketing analytics initiatives
Act as a data-driven thought partner to Loyalty and Marketing teams, providing analytical support and challenging priorities based on insights
Develop and own Customer Analytics Strategic Roadmap aligned with company goals, serving as the key decision maker for all Loyalty & Customer Data initiatives
Lead the design, development, and deployment of advanced analytics and AI/ML models to optimize customer segmentation, personalization, loyalty programs, and promotions
Oversee the end-to-end analytics and data science workflow including data preprocessing, feature engineering, model training, validation, deployment, and evaluation (e.g., A/B testing)
Partner with Marketing, Digital, Operations, and Technology to ensure robust data pipelines, scalable model deployment, and data-driven decision making
Enhance agility by proactively identifying and remediating data issues
Present actionable insights and recommendations to senior leadership to influence business strategies and continuously enhance the value generation from loyalty programs
Recruit, mentor, and lead a high-performing team, fostering a culture of continuous learning, innovation, and diversity
Provide guidance on career development, resource allocation, and recruitment for analytics talent

What we offer

Complete benefits packages (health insurance, pension contribution etc.)
Possibility of enrolling in stock purchase plan
Employee discount on fuel
Learning opportunities to develop new skills and to evolve professionally in a fast-growing company

Fulltime

Senior Product Manager - Xbox Data Analytics

On Team Xbox, we aspire to empower the world’s 3 billion gamers to play the game...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience
5+ years of data analytics or data science experience
Experience working with cloud-based technologies, including relational databases, data warehouse, big data (e.g., Hadoop, Spark), orchestration/data pipeline tools, data lakes
Experience engineering new platforms requiring 3rd party integration, operational standards, and/or data insights
Passion for large-scale distributed system engineering such as Azure or Xbox Live
Ability to use judgement and rating schemes to turn qualitative information into quantitative estimates
Proficiency in scenario analytics, mining for insights
Experience with any or similar technologies: Azure Data Explorer (Kusto), Azure Cosmos DB, Reporting applications (Power BI, Tableau, Grafana), Applied LLM to local data stores
Motivated to learn challenging technical domains
Good interpersonal and communications (verbal and written) skills, including the ability to effectively communicate with both business and technical teams

Job Responsibility

Work within and across teams to solve complex technical challenges
Develop engineering best-practices – continuously evaluate our processes to identify opportunities to improve, enhance, and automate existing and new capabilities with a fundamental understanding of the end-to-end scenario
Drive new projects from idea inception to completion
Balance technical and business requirements as input to establishing a solid roadmap
Regularly engage with various levels of Gaming Leadership to provide roadmap/progress updates against commitments
Measure the success and usage patterns of the product / feature at various levels as well as key engineering metrics
Provide thought leadership, creation, and execution on data platform capabilities
Grow & foster an inclusive, creative, high-performance team culture
Coach & mentor other team members

Fulltime

Senior Data Engineering Lead-Senior Vice President

The Applications Development Group Manager is a senior management level position...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

13+ years of relevant experience
Extensive experience in applications development
Experience in Wealth Management / Private Bank data space
Familiarity with key investment flows like Post Trade Flows, Portfolio and Risk Modelling, Performance, Market and Reference data including Client and Advisor and IC interactions
Sound knowledge of core investment products like Cash Equity, Fixed Income, Alternatives, Structured Notes and Derivatives
Experience with data technologies such as RDBMS and Hadoop (Cloudera) database
Experience in building cloud native data platforms (AWS & GCP) and exposure to modern data architecture
Experience in building real-time and batch data pipelines to support wide range of Analytics, Regulatory, Business and Operational use cases
Familiar with the big data technologies such as Hadoop, HDFS, Hive, HBase, Spark and Flink
Exposure with Snowflake and Databricks is preferred

Job Responsibility

Manage multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
Provide strategic influence and exercise control over resources, budget management and planning while monitoring end results
Utilize in-depth knowledge of concepts and procedures within own area and basic knowledge of other areas to resolve issues
Ensure essential procedures are followed and contribute to defining standards
Integrate in-depth knowledge of applications development with overall technology function to achieve established goals
Provide evaluative judgement based on analysis of facts in complicated, unique, and dynamic situations including drawing from internal and external sources
Influence and negotiate with senior leaders across functions, as well as communicate with external parties as necessary
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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards

Fulltime

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Senior Manager, Data Engineering, Provider Analytics

Job Description

Job Responsibility

Requirements

What we offer

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