Published: October 04, 2024 - The Data Operations Manager optimizes and scales essential business operations and systems, enhancing both internal and external efficiencies in a rapidly growing environment. Responsibilities include critically evaluating and overhauling current processes and tools to drive team performance, managing software stacks across sales, marketing, and project management, and leading the rollout of significant changes. Additionally, this role spearheads data strategy, manages business dashboards, delivers key metrics reports, maintains system security settings, and leads a team of analysts and specialists focused on operational functions.
Tips for Data Operations Manager Skills and Responsibilities on a Resume
1. Data Operations Manager, Pioneer Analytics Solutions, Des Moines, IA
Job Summary:
- Develop the Data Operations team to ensure we have a breadth of developing expertise and provide input on the resourcing and capability gaps we are likely to face in the future to cover evolving data needs.
- Foster an agile, high-performance, collaborative culture that is creative, open, supportive and dynamic with high levels of continuous improvement mindset.
- Ensure strong team emphasis on platform reliability and automation
- Define and monitor metrics that measure platform reliability, and track these metrics over time to improve performance
- Define technical requirements that increase the level of automation used on the Common Data Platform
- Strong emphasis and understanding of data quality
- Ensure that the right data is available to BI analysts and end-users to produce high-quality, timely data-driven analysis, insight and content.
- Define metrics to measure data coverage, data completeness, and data accuracy
- Engage with business stakeholders to gather business requirements and understand the business context of data and associated business processes &
- Identify gaps in existing information provision and opportunities for new datasets to support business decision-making and operations
Skills on Resume:
- Data Operations Management (Hard Skills)
- Agile Methodologies (Soft Skills)
- Platform Reliability (Hard Skills)
- Metrics Monitoring (Hard Skills)
- Data Quality Assurance (Hard Skills)
- Business Intelligence Support (Hard Skills)
- Gap Identification (Hard Skills)
- Stakeholder Engagement (Soft Skills)
2. Data Operations Manager, Green River Data Systems, Little Rock, AR
Job Summary:
- Manage training data topics
- Manage the Annotation teams
- Create and Improve training datasets
- Setup KPI and follow-up strategy for each algorithm
- Define R&D and Business Benchmarks
- Collaborate with R&D teams to explore new solutions
- Manage market-oriented data topics
- Continuous improvement of taxonomy and classification system
- Responsible to maintain and provide market standards (GARM, IAB) to clients
- Create new concepts and segments adapted to business needs
- Analyze product usage and give inputs to the product managers to help them develop new features
- Build dashboards and automate reports to feed Product and Business teams
- Participate to internal roadmap & key decision meetings
Skills on Resume:
- Manage Training Data Topics (Hard Skills)
- Manage Annotation Teams (Hard Skills)
- Improve Training Datasets (Hard Skills)
- Set Up KPIs (Hard Skills)
- Define Benchmarks (Hard Skills)
- Collaborate with R&D Teams (Soft Skills)
- Manage Market Data (Hard Skills)
- Automate Reporting (Hard Skills)
3. Data Operations Manager, Blue Sky Informatics, Boise, ID
Job Summary:
- Optimize and scale key business operations and systems to enable internal and external efficiencies in a hyper-growth environment
- Critically evaluate current processes and tools, overhauling these to drive efficiencies and improve team performance
- Manage systems and software stacks for sales, marketing and project management departments, including Salesforce, SalesLoft, Hubspot, Zoom, Acuity, Delighted, Wrike, Churn Zero etc.
- Support department leads in roll out of major changes
- Spearhead data strategy development (Marketing, Sales and Post-Sale)
- Track MQLs to sale completion
- Create and manage business dashboards for the team leads and Executive team
- Own models for productivity and team planning, surfacing recommendations to leadership
- Deliver forecast, pipeline and performance metrics reports, ensuring that data flows accurately between systems and can be easily accessed so that individuals can make informed decisions
- Maintain user roles, profiles, and security settings.
- Provide day-to-day end-user support (including configuration, complex processes and system maintenance) and assist users with proactive best practices to enhance and increase knowledge and use of SFDC.
- Create and manage custom objects, fields, formulas, validation rules, custom workflow, and report types.
- Recruit, lead and coach analysts and specialists who are responsible for various operations functions, including incentives, sales support, and operations
Skills on Resume:
- Optimize Business Operations (Hard Skills)
- Process Evaluation and Overhaul (Hard Skills)
- Manage Software Stacks (Hard Skills)
- Support Change Rollouts (Soft Skills)
- Spearhead Data Strategy (Hard Skills)
- Track MQLs (Hard Skills)
- Create Business Dashboards (Hard Skills)
- Lead and Coach Analysts (Soft Skills)
4. Business Data Operations Manager, Crescent Data Insights, Baton Rouge, LA
Job Summary:
- Initialize and manage new business data requests through the onboarding forum from stakeholders across the business in Investment Services, Operations, Finance, Product, Distribution etc…
- Prioritise requests from the forum and deliver high-quality user stories to Technology Delivery Teams
- Drive the migration from legacy to strategic high-quality data solutions for business data
- Define and agree on supporting business processes and best fit within the operating model
- Agree on delivery priority and User acceptance testing approach with the Delivery Team
- Build the business data management team and ensure data quality checks are appropriate, measured, documented and periodically reviewed.
- Root cause analysis of incidents and facilitation of improvements to the data stewardship control environment
- Develop the Business Data Master strategy
- Standardise requests for change and develop the data quality statements required for decision-making within the forum
- Capture the rules around data quality and collaborate with the BAU teams to ensure these are implemented either through an intuitive user interface on input or capture or via data quality checks post-set-up
- Ensure the data management process for any changes is considered, robust and documented
- Prioritise business data requests
- Build key working relationships with Data Governance, Enterprise Architecture and IT delivery leads
Skills on Resume:
- Manage Data Requests (Hard Skills)
- Deliver User Stories (Hard Skills)
- Drive Data Migration (Hard Skills)
- Define Business Processes (Hard Skills)
- User Acceptance Testing Coordination (Hard Skills)
- Build Data Management Team (Hard Skills)
- Conduct Root Cause Analysis (Hard Skills)
- Build Working Relationships (Soft Skills)
5. Data Operations Manager, Quantum Metrics Labs, Reno, NV
Job Summary:
- Planning a solution and translating it into technical requirements
- Plan, designed, and implemented desktop services with a specific focus on client hardware & OS, client management, Active Directory group policies and related technologies
- Launch new solutions including documentation and handover workshops to users/businesses and Sky Service Desk
- Support and administration of desktop services technologies, including PowerShell scripting to automate Sky Service Desk tasks and requests
- Responsible for client software lifecycle from initial request until decommissioning, including managing the application catalog within the ITSM tool
- Build installation manuals, guidelines, concepts, troubleshooting guides and knowledgebase articles
- Responsible for ensuring we apply consistent data definitions, that documentation is clear and effective, and for ensuring we comply with data security and protection protocols.
- Identifying key sources of data and information to help streamline data acquisition approaches and to strengthen performance insights
- Managing data relationships and developing and maintaining strong relationships with external data providers, internal users of data, technology teams and other key stakeholders
- Building efficiencies and identifying new ways of acquiring data to make approaches more efficient and datasets more complete
- Drive forward existing " re-house" and " decorum" streams of work which are decommissioning the legacy client and portfolio master application and replacing it with a number of strategic masters
- Document and understand data lineage of attributes stored within the legacy application
- Produce current and future state process flow diagrams using industry-standard software packages
- Ensure compliance with the Group Data Model
Skills on Resume:
- Plan Solutions (Hard Skills)
- Implement Desktop Services (Hard Skills)
- Launch New Solutions (Hard Skills)
- Support Desktop Technologies (Hard Skills)
- Manage Software Lifecycle (Hard Skills)
- Create Documentation (Hard Skills)
- Identify Data Sources (Hard Skills)
- Document Data Lineage (Hard Skills)
6. Data Operations Manager, Harbor Data Solutions, Portland, ME
Job Summary:
- Leading a team of 20+ secondary research analysts, data operations analysts and data quality analysts
- Formulate quality control methodologies and implement quality assurance across all projects, deliverables and work processes of entire team
- Responsible for developing & updating process documents (SOPs) required for successful implementation of data projects
- Responsible for developing project feasibilities and proposals focusing on project objectives, scope, approach, research methodology, timelines
- Responsible for setting up team's KPIs and improving the efficiency/ performance of team members
- Participate in internal initiatives on data quality and building of knowledge repositories
- Mentoring and training team leaders and new joiners across all projects
- Work with management, sales teams and end-users to create and manage workflows as well as data validation
- Other projects or tasks that arise to further the quality of company data and contribute to the overall success of C2FO
- Intermediate SQL/Excel experience
- Familiarity with Salesforce and data visualization tools (Tableau and Power BI)
Skills on Resume:
- Lead Research Analysts (Soft Skills)
- Implement Quality Assurance (Hard Skills)
- Develop Process Documents (Hard Skills)
- Create Project Proposals (Hard Skills)
- Set Up KPIs (Hard Skills)
- Participate in Data Quality Initiatives (Soft Skills)
- Mentor Team Members (Soft Skills)
- Utilize SQL and Excel (Hard Skills)
7. Data Operations Manager, Red Oak Technologies, Wichita, KS
Job Summary:
- Manage client projects by understanding client needs, defining requirements, assigning work, and ensuring project success.
- Serves as a point of escalation for clients on projects as well.
- Manage direct reports, ensuring they are well trained, productive (i.e. strong billability with equivalent quality outputs), a strong DEFTLY culture fit, and progressing on career paths.
- Help team members develop solutions for client project needs.
- Help team members navigate resourcing constraints and communication challenges.
- Contribute to new business development including requirement gathering, budget estimation, and proposal development.
- Plan and lead a dashboard project end-to-end including data preparation and dashboard development.
- Contribute to client work both strategically and tactically in the areas of data preparation, data engineering, and data visualization.
- Coordinate multiple client requests and project activities at any one time to ensure accurate, timely, and efficient data infrastructure deliverables.
- Help clients evaluate and select new technologies that best fit into existing technology stacks.
- Create, improve, document, and teach data operations processes.
Skills on Resume:
- Manage Client Projects (Soft Skills)
- Serve as Escalation Point (Soft Skills)
- Oversee Team Productivity (Soft Skills)
- Develop Client Solutions (Hard Skills)
- Navigate Communication Challenges (Soft Skills)
- Contribute to Business Development (Hard Skills)
- Lead Dashboard Development (Hard Skills)
- Document Processes (Hard Skills)
8. Data Operations Manager, Sunrise Data Networks, Dover, DE
Job Summary:
- Manage all the LAN nodes in the Metrotech campus environment and manage the team that maintains and supports this environment in a 365x24x7 environment to ensure the network is always accessible
- Manage the performance of high-level repair and testing of network cable infrastructure with Operations Teams, Telco vendors and city contract vendors.
- Interface with internal Operation groups and city agencies to resolve urgent and high-priority incidents and request
- Create and manage data center-related projects
- Update projects using Clarity and other tools available
- Work closely with the Tech Arch teams for new BOM's and tasks
- Open, review and update incidents, requests, tasks and change requests related to Data Center Operations
- Manage all PDM’s in data centers and all LAN closets
- Install/decommission network appliances
- Manage all physical assets entering and leaving data center
- Ensure the performance of data center environment
Skills on Resume:
- Manage LAN Nodes (Hard Skills)
- Oversee Network Performance (Hard Skills)
- Resolve High-Priority Incidents (Soft Skills)
- Create Data Center Projects (Hard Skills)
- Update Project Management Tools (Hard Skills)
- Collaborate with Tech Architecture (Soft Skills)
- Manage Incident Requests (Hard Skills)
- Oversee Asset Management (Hard Skills)
9. Data Operations Manager, Pine Valley Analytics, Helena, MT
Job Summary:
- Perform periodic data center consolidation and wiring management maintenance
- Manage remote and on-site management of power distribution units and KVM appliances in data centers and LAN closets utilizing DSView III/IV applications.
- Schedule periodic firmware upgrades of PDM and KVM devices
- Merge and configure Operations Team network work appliance assets to KVM devices
- Perform daily management activities e.g. escalation and solution review.
- These activities include tracking performance through the analysis of Enterprise Management System reports on incidents, change requests and RFS's.
- Analysis of these reports enabled the manager to plan resources, identify trends and further investigate operational activities
- Establish the appropriate technical and business training plans for all staff so they have the required knowledge and understanding of technologies and business services that they support
- Establish a core team vision and strategy based on DOITT’s organizational goals and priorities
- Meet regularly with staff and communicate with them about any changes, additions, etc
- Perform reviews on a yearly basis and work together to address concerns, performance, etc.
Skills on Resume:
- Data Center Management (Hard Skills)
- Power Distribution Management (Hard Skills)
- Firmware Upgrade Scheduling (Hard Skills)
- Network Configuration (Hard Skills)
- Incident and Change Management (Hard Skills)
- Trend Analysis (Hard Skills)
- Training and Development (Soft Skills)
- Team Leadership (Soft Skills)
10. Data Operations Manager, Summit Data Works, Cheyenne, WY
Job Summary:
- Responsible for strategic planning for the Data Operations team and managing data pipeline in production.
- Drive the execution of objectives while working closely with the engineering team.
- Provide best-in-class production practices that enable Aktana to meet the growth demand.
- Manage the full lifecycle of data pipeline in production, Database operations, Snowflake adoption, data loading issues, ETL pipeline for scalable operations, and performance tuning.
- Participate as a key member of the Cloud Operations leadership team.
- Work and collaborate with services and engineering leaders to drive and align on the key objectives.
- Create processes, manage, and prioritize multiple initiatives.
- Work closely with Services, Engineering, Product Management, QA to meet business goals in a fast-paced environment.
- Recruit, retain, and grow the data operations team.
- Responsible for the sustainable end-to-end Supply Chain master data workflow design including Core Master Data (Material, Supplier and Customer) and Functional Master Data (Bill of Materials, Routing, Production Version, contract, etc.)
- Ensure process flows and supporting transactions are aligned with the Enterprise Data Standard
Skills on Resume:
- Strategic Planning (Hard Skills)
- Data Pipeline Management (Hard Skills)
- Production Practices (Hard Skills)
- ETL Development (Hard Skills)
- Collaboration (Soft Skills)
- Process Management (Soft Skills)
- Recruitment (Soft Skills)
- Master Data Design (Hard Skills)
11. Data Operations Manager, Crystal Peak Analytics, Bismarck, ND
Job Summary:
- Build strong relationships with senior systems leadership to ensure that needs are considered and supported
- Develop and implement strategic roadmaps for technological and process improvements and innovations for assigned systems
- Manage the day-to-day operation and maintenance of assigned systems, including identifying and evaluating system requirements (e.g., functionality, aesthetics)
- Testing the system for user acceptance and collaborating with Business Transformation, System Developers, and Development teams to resolve issues and make upgrades
- Providing status updates, monitoring metrics and providing guidance and training
- Continually develop, improve, and automate processes that support stakeholders and champion process optimizations focused on creating more value for customers
- Oversee the development and publication of tools and information to support the needs of stakeholders, such as statistics, scorecards, analytics, performance to KPIs, and customized reporting
- Ensure that manufacturer and distributor term sets are accurately implemented, by setting system and invoicing parameters (i.e., Hierarchy, terms, catalog SKUs, supplier nomination codes)
- Mapping units and distributors to term sets, conducting quality checks and developing processes to correct errors
- Serve as a Subject Matter Expert (SME) for Canada in the transition of information and data between systems and supply chain, including determining requirements, testing, and migration of data
- Develop and oversee the implementation of training for associates and external Foodbuy clients on systems, including the development of training materials and coordination and execution of training plans
- Manage, coach, and develop a team of systems staff
Skills on Resume:
- Relationship Building (Soft Skills)
- Strategic Roadmap Development (Hard Skills)
- Systems Operations Management (Hard Skills)
- User Acceptance Testing (Hard Skills)
- Process Automation (Hard Skills)
- Reporting and Analytics (Hard Skills)
- Quality Checks (Hard Skills)
- Training Development (Soft Skills)
12. Data Operations Manager, Riverstone Data Group, Concord, NH
Job Summary:
- Manage data projects team
- Propose and implement quarterly data project roadmap
- Advocate for the data teams’ tooling needs to supercharge efficiency
- Interface with Customer Success to manage standard and non-standard deals that require data support
- Interface with ML and Engineering to remediate poorly performing specificity and sensibility results
- Interface with Templating to remediate poorly performing templates
- Manage the relationship with partners' teams
- Dive into data projects to directly impact performance targets for ML
- Grow the team by Recruiting
- Coordinate internal and external annotation teams
- Constantly propose improvements to the labeling process
- Focused on strategy and execution of operational efficiency initiatives
- Interact frequently with individuals throughout Operations, Development, Product, and Sales, as well as external clients and vendors
Skills on Resume:
- Team Management (Soft Skills)
- Project Roadmap Development (Hard Skills)
- Tool Advocacy (Soft Skills)
- Customer Management (Soft Skills)
- Performance Improvement (Hard Skills)
- Relationship Management (Soft Skills)
- Recruitment (Soft Skills)
- Process Improvement (Hard Skills)
13. Data Operations Manager, Windmill Data Systems, Montpelier, VT
Job Summary:
- Oversee and manage a global team
- Lead efforts to document, test, measure, execute, and improve on existing processes
- Design and create new processes to enhance the efficiency, consistency, and scalability of recurring data efforts
- Create excellent recurring regular reporting aimed at providing process/project status updates including timing, capacity, milestones, etc to various internal stakeholders
- Lead client projects and collaborate with the HSP Direct team to develop successful fundraising programs
- Manage project deliverables and proactively engage with other teams to track a project timeline from start to delivery
- Understand client’s goals and provide analysis on a project’s performance highlighting donor trends for optimization
- Develop and Build strong relationships with teams at HSP Direct
- Utilize software platforms to create a direct mail program and analyze the top-level statistics for a client’s project
- Ensure client success through the accurate and timely delivery of data
- Retain, Hire, Train and Mentor a World Class Team
- Identify, communicate, and facilitate career growth opportunities for individuals on the team
- Recognize the relationship between client and employee success
Skills on Resume:
- Team Oversight (Soft Skills)
- Process Improvement (Hard Skills)
- Process Design (Hard Skills)
- Reporting Creation (Hard Skills)
- Project Leadership (Soft Skills)
- Performance Analysis (Hard Skills)
- Relationship Building (Soft Skills)
- Team Development (Soft Skills)
14. Data Operations Manager, Ironbridge Data Solutions, Pierre, SD
Job Summary:
- Lead and facilitate user story, business rules and data mapping creation
- Provide/validate functional specifications to ensure documentation and configuration of the workflow application and processes align with business requirements
- Drive operational data projects as well as assist in the creation, development, and deployment, and maintenance of data following data governance standards.
- Deliver the highest levels of service to stakeholders through stitching data across multiple platforms, monitoring quality, and driving continual process improvements
- Ensure data integrity of daily reporting and automation
- Conduct hands on data mining and analysis for audience targeting, identify issues and improve processes
- Research and resolve data questions from internal and external partners and agencies. Enhance business operations by driving the creation of policies and procedures
- Assist with a variety of activities related to the daily operations of the data operations team
- Communicate issues and recommendations to the Business and Compliance Teams
- Work with engineering to create automated performance monitoring and reporting
- Test, deploy and maintain data integrations, ETL processes, API’s and analytics solutions within the environment.
- Closely partners with Solution Architects, partner teams and other data leads to create scalable and sustainable data solutions to be delivered in a repeatable manner.
Skills on Resume:
- User Story Facilitation (Soft Skills)
- Functional Specification Validation (Hard Skills)
- Data Project Management (Hard Skills)
- Data Quality Monitoring (Hard Skills)
- Data Integrity Assurance (Hard Skills)
- Data Analysis (Hard Skills)
- Issue Resolution (Soft Skills)
- Automation Development (Hard Skills)
15. Data Operations Manager, Maple Analytics Group, Augusta, ME
Job Summary:
- Support current clients, and build and expand long-term relationships with them
- Negotiate and create new solutions together with the internal developer team
- Coordinate and monitor data deliveries as well as integrations
- Support customers and solve issues together with developers
- Prioritizing tasks in the dynamic environment of a technological company.
- Assertively managing projects and taking into account the available tools and business perspectives
- Take part in the building of the company’s image as a professional partner and advisor in business related to the broadly understood Big Data and Digital Marketing
- Translate technical possibilities into the language of business and look for technical solutions to challenges faced by clients
- Carry out interesting projects (for example, if new legal regulations are implemented)
- Investigate how they can affect business-project cooperation with the legal and financial team)
- Select independent methods and ways of carrying out an activity in order to obtain the desired effect with the substantive support of an experienced team.
Skills on Resume:
- Client Relationship Management (Soft Skills)
- Solution Development (Hard Skills)
- Data Delivery Coordination (Hard Skills)
- Issue Resolution (Soft Skills)
- Task Prioritization (Soft Skills)
- Project Management (Hard Skills)
- Business Advisory (Soft Skills)
- Regulatory Impact Analysis (Hard Skills)
16. Data Operations Manager, Lakeview Data Consultants, Topeka, KS
Job Summary:
- Provide support the existing and design new/enhancement of data models on Cloud data architecture
- Hands-on learning about new ETL tools from the vendor and taking owner after completing learning
- Research and properly evaluate sources of information to determine possible limitations in reliability and usability
- Analyzing and making use of the information in helping an organization carry out its laid-out business plans
- Train other members of the team on how to properly organize findings and read data collected
- Refer to previous instances and findings to determine the ideal method for gathering data
- Regularly monitor and evaluate information and data systems that could affect analytical results
- Lead a team of analysts to accomplish workplace tasks
- Create and maintain usage and adoption dashboards
- Clearly present findings and recommendations to decision-makers at various levels
- Assist colleagues across the organization to help improve end-user efficiency and effectiveness
- Understand and analyze user and application data in order to target users for communication campaigns
Skills on Resume:
- Data Model Design (Hard Skills)
- ETL Tool Proficiency (Hard Skills)
- Information Evaluation (Hard Skills)
- Data Analysis (Hard Skills)
- Team Training (Soft Skills)
- Data Gathering Methodology (Hard Skills)
- System Monitoring (Hard Skills)
- Team Leadership (Soft Skills)