Management Information System and Trust Data Manager Job at Office Angels (Hounslow)

Management Information System and Trust Data Manager

Are you passionate about data management and making a difference in the educatio...

Location

United Kingdom , Hounslow

Salary:

40182.00 - 42060.00 GBP / Year

Office Angels

Expiration Date

Until further notice

Requirements

Proven track record in managing MIS within an educational setting
Experience as a Data Protection Officer or in a high-level data compliance role
Strong technical proficiency in maintaining interfaces between MIS and other systems
Excellent communication skills
Commitment to safeguarding
Ability to support the evolving needs of the Trust and its schools, with a flexible approach to work

Job Responsibility

Champion the Management Information Systems (MIS) across Trust schools, ensuring timely and accurate data management for all stakeholders
Uphold data compliance duties, ensuring robust housekeeping of system information and statutory reporting
Act as the Trust's internal Data Protection Officer, ensuring compliance with UK GDPR and the Data Protection Act 2018
Oversee school census data, provide technical support, and ensure effective use of school information management systems

What we offer

28 days holiday including 3 days for school closure between Christmas and New Year
Opportunities for personal development and training
Supportive environment
Office located just an 8-minute walk from Syon Lane train station

Fulltime

Privacy, Data Transfers and Records Management Risk and Strategy Lead

The Privacy, Data Transfers and Records Management Risk and Strategy Lead is pri...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of relevant experience in management consulting, strategy consulting or risk management, including experience overseeing functional operations
Strong understanding and experience with governance programs and risk appetite frameworks
Demonstrated ability to execute strategic initiatives and drive business value
In-depth knowledge of risk and control frameworks
Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences
able to drive consensus, and influence relationships at all levels
Collaborates effectively by building partnerships and working well with others to meet shared objectives
Ability to gain confidence and trust of others through honesty, integrity and authenticity
Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels
Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between understanding the “big picture” while paying close attention to detail

Job Responsibility

Responsible for overseeing and coordinating 1LoD risk appetite activities for the IMPaCT Function
Responsible for overseeing the IMPaCT functions business execution activities, including financial management, communications and compliance with Citi risk and controls frameworks
Deliver the IMPaCT Functions enterprise risk appetite metic strategy (including metric production activities where required) and coordinate with multiple teams across the IMPaCT function to ensure effective processes
Influences and negotiates with senior leaders (across multiple functions)
Collaborate with Technology, Operations, Information Security, Risk management, Compliance and other organizations across Citi to develop and implement effective solutions and process delivery, including technology investment request optimization for IMPaCT technology solutions
Preparation of clear, accurate and timely reports and escalations on risks, risk mitigation measures and compliance activities

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

IT Manager, Data Management

We are looking for an experienced IT Manager, Data Management to lead the compan...

Location

United States , Fairless Hills

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's degree in Information Systems, Data Analytics, Computer Science, Engineering, or a related discipline
an advanced degree is preferred
At least 7 years of experience in data analytics, business intelligence, data engineering, or closely related functions
Minimum of 3 years of experience leading teams, supervising staff, or managing technical talent
Demonstrated experience working with enterprise data lakes, data architecture, and cross-system data management
Strong background in data modeling and building reporting solutions that support operational and financial analysis
Experience with AI or machine learning solution development or deployment is preferred
Strong communication, analytical thinking, and problem-solving skills with the ability to influence cross-functional stakeholders
Familiarity with technologies such as Active Directory, backup platforms, Cisco environments, computer hardware, and configuration management is beneficial

Job Responsibility

Create and refine enterprise-wide policies that govern data quality, stewardship, and usage across business systems
Direct the design of data architecture standards for the organization's data lake and ensure scalable, reliable information flow between platforms
Oversee initiatives that improve data consistency, master data alignment, and integration across operational, dispatch, and enterprise applications
Lead the development of data pipelines, transformation processes, and structured models that support analytics, forecasting, and financial reporting
Guide the organization's reporting and business intelligence roadmap, including executive dashboards, scorecards, and standardized performance metrics
Expand access to trusted insights by introducing appropriate self-service reporting capabilities for business users
Partner with technology and project leadership to identify automation opportunities and deliver advanced analytics solutions
Collaborate on future AI initiatives by evaluating predictive use cases, supporting model deployment, and measuring business impact from data-driven products
Manage, coach, and develop team members while building a scalable data organization aligned with company growth objectives

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

Group Product Manager, Privacy and Trust

As Group Product Manager, Privacy and Trust, you will own enterprise consent, pr...

Location

United States , Austin, Texas; Mountain View, California; Warren, Michigan

Salary:

159400.00 - 245700.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

5+ years of digital/software product management experience, with at least 3+ years owning enterprise platforms, APIs, or backend services consumed by multiple internal product teams
3+ years of experience as a people manager of product managers, or equivalent experience leading senior PMs and complex multi-PM platform programs
Demonstrated experience in privacy, consent, identity, compliance, or another regulated platform domain, with a strong understanding of how regulation translates into product and engineering requirements
Strong technical fluency with distributed systems, microservices, event-driven architectures, API design, and data platforms
able to make informed trade-offs and partner credibly with senior engineering leaders
Proven ability to balance the needs of many downstream consumers with platform-wide consistency, performance, and total cost of ownership at significant scale
Strong analytical skills with the ability to define platform metrics and SLOs, and to interpret operational and adoption data to drive decisions
Excellent written communication, with the ability to produce structured, data-informed narratives that align legal, engineering, and product stakeholders
Demonstrated success leading cross-functional initiatives in fast-paced, matrixed organizations.

Job Responsibility

Own the long-term product vision, architecture priorities, and multi-year roadmap for the platform, balancing regulatory requirements, downstream consumer needs, reliability, and total cost of ownership
Lead and grow a team of product managers covering the major consent, privacy and preferences areas (consent management, legal terms and agreements, preferences, and platform services), setting strategy and developing PM talent on the team
Establish and operate the platform reliability and quality bar, including SLOs, production readiness reviews, incident reduction targets, observability, and a clear path to 99.9%+ availability for read endpoints
Define the onboarding and self-service model for new consumers of the platform, reducing time-to-onboard a new jurisdiction or product and minimizing duplicated compliance logic across teams
Act as the voice of the customer and ensure digital products follow best in class privacy and trust practices, even when you don't directly own the product
Actively monitor emerging trends, incorporate data, research, and market analysis to inform, define, prioritize, and drive execution of product roadmap that spans privacy initiatives, data handling, consent experiences, and privacy controls
Operate as the single point of accountability for the platform and team across consumers (mobile, web, in-vehicle), prioritizing roadmap intake, brokering trade-offs, and unblocking critical programs
Define and monitor platform KPIs (latency, availability, consent throughput, onboarding time, audit/compliance coverage, P1 incidents, downstream adoption) and communicate platform health, progress, and trade-offs to senior leadership.

What we offer

Incentive pay program
medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts
company vehicle evaluation program
relocation benefits.

Fulltime

Senior Manager, Data Science and AI Technical Product Owner

Do you want to make a global impact on patient health? Do you thrive in a fast-p...

Location

Mexico; Costa Rica , Mexico City; San Jose

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
2-3 years of hands-on product management experience
2+ years of hands-on software development experience, preferably in a cloud environment such as AWS
Track record of managing cross-functional stakeholder groups and effecting change
Clearly articulates expectations, capabilities, and action plans
actively listens with others’ frame of reference in mind
appropriately shares information with team
favorably influences people without direct authority
Clearly articulates scope and deliverables of projects

Job Responsibility

Partner with other leaders to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development
Communicate value delivered through industrialized AI/ML assets to end user functions (e.g., Chief Marketing Office, PBG Commercial and Medical Affairs) and partner to ideate, design, and implement industrialized assets that can be scaled across markets, brands, and TAs
Partner with Commercial Data team to integrate industrialized assets into enterprise-level analytics data products where appropriate
Partner with Platforms team on continuous development and end to end capability integration between OOB platforms and internal engineered components (API registry, ML library / workflow management, enterprise connectors, AI reusable components)
Performance and resource optimization of managed pipelines and models
Lead the advancement of at scale “industrialized” AI and data science capabilities and industrialized asset products
Own vision and maintain a holistic and consistent roadmap for data science and AI products, including data science workflows, AI based software solutions, and AI components
Provide the voice of the user as the product owner on agile product development teams to maximize value and impact of industrialized data science and AI products
Drive adoption of products through user community engagement (e.g., roadshows, training sessions, knowledge sharing etc.)
Develop and maintain business-facing assets documentation/communication for data science and AI products (e.g., value proposition, catalog, and adoption metrics)

Fulltime

Manager, Product Management- Partnerships Data Products

Manager, Product Management- Partnerships Data Products. The Partnerships Data T...

Location

United States , Chicago; Richmond; McLean

Salary:

149800.00 - 188100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 3 years of experience working in Product Management
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field or an MBA with a quantitative concentration

Job Responsibility

Own the Product Vision:Define and drive the roadmap for next-generation data products that power partner growth and enable AI-driven decisioning
Lead AI-Enabled Modernization:Transform legacy data systems into scalable, real-time platforms—leveraging AI/ML for data quality monitoring, anomaly detection, and intelligent automation
Deliver Intelligent Insights:Modernize partner reporting into AI-enhanced insights and recommendations that drive measurable business outcomes
Operate at Enterprise Scale:Work across Product, Engineering, Data Science, and Business teams to build trusted, AI-ready data ecosystems

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Human Data and Research Services Strategic Sourcing Manager

We are hiring a Human Data & Research Services Strategic Sourcing Manager (Opera...

Location

United States , San Francisco

Salary:

234000.00 - 260000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

7+ years of experience in strategic sourcing, procurement, operations, or vendor management
Demonstrated experience managing multiple concurrent supplier engagements with strong attention to detail
High operational fluency with tools such as Zip (or equivalent intake tools), Ironclad (or CLM systems), and Slack
Strong analytical skills — comfortable working with spend data, contract terms, and operational metrics
Ability to execute independently while partnering effectively with senior stakeholders
Excellent written and verbal communication skills

Job Responsibility

Own and execute end-to-end sourcing activities for Human Data and Research Services suppliers
Support new supplier onboarding, renewals, amendments, and scoped expansions in partnership with senior sourcing leadership
Draft, review, and operationalize SOWs, pricing exhibits, and commercial terms in coordination with Legal and Finance
Ensure supplier engagements align with category strategy, commercial guardrails, and internal policies
Act as a primary operator across procurement and contracting tools including Zip, Ironclad, and Slack
Manage intake requests, approvals, contract routing, and documentation hygiene with a high degree of accuracy
Track deal status, approvals, spend thresholds, and execution risks across a live portfolio of suppliers
Maintain clean records and reporting to support audits, leadership updates, and forecasting, and compliance
Analyze supplier spend, usage trends, deal velocity, and operational bottlenecks
Produce clear summaries and insights for senior stakeholders to inform prioritization and decision-making

What we offer

Offers Equity
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth

Fulltime

Manager, Data Engineering - Finance Data Foundations

Manager, Data Engineering - Finance Data Foundations The Manager, Data Engineer...

Location

Canada , Toronto

Salary:

110000.00 - 130000.00 USD / Year

Four Seasons

Expiration Date

Until further notice

Requirements

Minimum 5-8 years experience Data Engineering
with experience in Azure using Databricks
Bachelor’s degree Required
MBA or Master’s in Engineering preferred
Expert in Data Engineering in Microsoft Azure Environment + Toolsets (ADF, Synapse, Data Bricks, Cosmos DB, FunctionApps, Logic Apps etc)
Lakehouse experience using Databricks
Azure platform administration
Data Governance Software experience
Microsoft Power BI delivery and support
Strong SQL query skills

Job Responsibility

Leading the delivery of finance domain data migration projects with clear milestones, quality controls, and operational readiness
Designing and maintaining reusable data ingestion and transformation frameworks aligned with enterprise engineering standards
Ensuring data consistency, lineage, and trustworthiness across finance and enterprise data domains
Collaborating with business and technical stakeholders to enable analytics, forecasting, and AI readiness for finance data
Driving operational excellence across engineering practices, optimizing for cost, performance, and maintainability
Design, develop, and maintain robust batch and streaming data pipelines across Azure Data Factory, Databricks, Informatica, and SQL environments, ensuring scalability, reliability, and operational efficiency
Closely work with vendors, contractors and other FS teams to operationalize the data migration process for the hotels
Implement and oversee CI/CD workflows, Infrastructure as Code (IaC), and automated testing frameworks (unit, integration, and data validation) with built-in monitoring and observability to meet defined SLAs and SLOs
Operationalize data quality by integrating Informatica IDQ into finance workflows for profiling, rule-based validation, and continuous data quality monitoring
Apply governance standards by embedding metadata, cataloging, and lineage practices in collaboration with the Data Strategy & Governance team

Fulltime

Select Country

Management Information System and Trust Data Manager

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?

Management Information System and Trust Data Manager

Management Information System and Trust Data Manager

Privacy, Data Transfers and Records Management Risk and Strategy Lead

IT Manager, Data Management

Group Product Manager, Privacy and Trust

Senior Manager, Data Science and AI Technical Product Owner

Manager, Product Management- Partnerships Data Products

Human Data and Research Services Strategic Sourcing Manager

Manager, Data Engineering - Finance Data Foundations

Our AI answers in your language