DATA MANAGEMENT AND ANALYTICS HEAD
1. Position Objective: To lead and manage the Data Management and Analytics Unit with a focus on developing and implementing data strategies, leveraging advanced analytics techniques, and driving data-driven decision-making processes to optimize organizational performance and enhance business outcomes.
2. Linkages:
Immediate Superior: OIER Director
Subordinates: Data Management and Analytics and Performance Assessment Unit Associates
Coordinates: OIER Centers and linked Offices
3. Duties and Responsibilities: Performance and People Management
1. Develop and monitor performance metrics, benchmarks, and Key Performance Indicators (KPIs) for the unit
2. Conduct regular performance reviews and provide feedback to team members
3. Identify skill gaps and implement training and development plans to enhance team capabilities.
Business Intelligence and Strategy
1. Oversee data sourcing, acquisition, cleansing, integration, warehousing, exploration and delivery of unit-related data.
2. Synthesize trends, patterns and correlations from analyses to formulate insights and actionable recommendations
3. Provide guidance on validation methodology and criteria
4. Provide advice on the development of data analysis models based on project requirements
5. Advise the design of complex reporting and analytical solutions
6. Develop roadmaps for optimizing the BI analysis insights
7. Set the guidelines for the development of end user reports
8. Oversee the development of design and specification proposals including feasibility and functional studies
9. Evaluate business plans and priorities to guide the identification of information needs for decision-making
10. Manage the performance and development process, including providing coaching and development opportunities to maximize the potential of each individual
11. Manage the budget expenditure and allocation across teams and projects
12. Acquire, allocate and optimize the use of resources
13. Propose new operational plans, including targeted budgets, work allocations and staff forecasts 1 based on the Skills Framework for the Information Age (SFIA) and the Philippine Skills Framework for Analytics and AI
14. Develop learning roadmaps to support the professional development of the team
15. Monitor and track the team's achievements and key performance indicators
16. Provide BI insight updates and tactical, actionable recommendations to senior leaders and clients
17. Develop standards, policies and procedures for the form, structure and attributes of the BI tools and systems
18. Oversee ongoing development and operations of BI architecture
19. Develop and execute strategies for data acquisition, processing, and utilization.
20. Lead the adoption of advanced data management technologies. Data Science and Data/AI Engineering
21. Oversee the creation of comprehensive reports and deliverables, translating complex model insights into actionable business strategies.
22. Implement advanced autonomous monitoring systems to enhance scalability and reduce the need for continuous human supervision.
23. Champion the scaling and deployment of models in real-time business environments, ensuring seamless integration for end users.
24. Supervise the extraction and integration of data from diverse sources, ensuring robust feature representation.
25. Enforce data ethics and compliance with policies throughout the model selection and evaluation process.
26. Ensure deployed AI/ML models are aligned with the organization's core values and comply with data governance and ethics guidelines
27. Provide technical guidance for scaling and pre-deployment of AI/ML models
28. Develop strategies for resource planning and utilization
29. Spearhead the strategic planning and execution of AI/ML initiatives, ensuring end-to-end deployment from testing to optimization for system performance.
30. Develop and implement scalable AI/ML strategies.
31. Implement advanced project management methodologies to enhance cost-efficiency and resource allocation.
32. Guide the development and deployment of sophisticated supervised and unsupervised AI/ML techniques for complex problem-solving.
33. Conduct high-level reviews of scaled AI/ML models to guarantee optimal performance upon deployment.
34. Oversee the evaluation and refinement of AI/ML model scaling and packaging processes.
35. Lead initiatives in data handling, including extraction, transformation, loading, and integration of unstructured data for model development.
Financial Accountability
1. Develop and manage the budget for the unit, including forecasting expenses, allocating resources, and ensuring cost-effectiveness in all initiatives.
2. Allocate financial resources efficiently to support data management and analytics projects, ensuring that funds are utilized effectively to achieve strategic objectives.
3. Identify opportunities to optimize costs related to data storage, processing, and analysis, including negotiating contracts with vendors and leveraging economies of scale.
4. Establish and track financial performance metrics for the unit, such as cost per analysis, revenue generated, or ROI on analytics investments, to measure success and identify areas for improvement.
Market Accountability
1. Establish and maintain OIER data governance policies and procedures to ensure compliance with regulatory requirements and industry standards.
2. Identify opportunities for data integration and consolidation to streamline operations and improve efficiency.
3. Collaborate with stakeholders to understand business needs and translate them into data analytics initiatives.
4. Lead the development of predictive and prescriptive models and analytical tools to support decision-making and drive business growth.
5. Monitor and analyze key performance indicators to evaluate the effectiveness of data management and analytics efforts.
6. Provide regular updates and reports to senior management on the status and impact of data management and analytics initiatives. 7. Continuously evaluate emerging technologies and best practices to enhance the capabilities of the Data Management and Analytics Unit.
8. Build and nurture a high-performing team of data analysts and specialists to support the organization's data-driven objectives.
DATA MANAGEMENT AND ANALYTICS SPECIALIST
1. Position Objective: To provide technical support in managing the Center’s information management and its various databases and build data mining and optimization models to support decision-making in the College.
2. Linkages:
Immediate Superior: Unit Head Subordinates: Data Management and Analytics Associate
Coordinates: OIER Centers and linked Offices
3. Duties and Responsibilities Internal Processes Accountability
1. Conceptualizes the design, planning and operations of the various systems development and data management and/or data mining projects of the OIER.
2. Formulates achievable and well-defined/objectives/performance targets in relation to data management and anticipates the needs and development of the Center.
3. Develop systems for online assessment instruments and feedback mechanisms.
4. Designs, develops, and maintains the Center’s website.
5. Supervises other Center’s personnel handling specific databases in their respective units/offices.
6. Provides hands-on training on the proper and effective use of the various databases to users.
7. Gives formal or informal orientation to users of online assessment instruments.
8. Develops and maintains systems that organize the data of OIER and ensure the accuracy, confidentiality, and security of the various databases.
9. Maintains the highest possible predictive accuracy of the developed data mining and optimization models through regular updates. 10. Designs, develops, and assists in the development and implementation of other critical database management systems of other departments particularly in the Administration group of the College that provides inputs to OIER or uses data and information from OIER.
11. Collaborates with the Statistician in the development and management of the data warehouse for the school metric projects. Performance and People Management
12. Develop and monitor performance metrics, benchmarks, and Key Performance Indicators (KPIs) for the subordinate(s).
13. Conduct regular performance reviews and provide feedback to subordinate(s).
14. Identify skill gaps and implement training and development plans to enhance subordinate(s)’ capabilities. Data Engineering
15. Evaluate existing technologies and technology practices
16. Automate processes focusing on repeatability and reliability
17. Identify opportunities for improvements and optimization to systems and processes
18. Resolve data integrity, performance, and availability issues
19. Translate business' data needs to technical system requirements
20. Evaluate suitability of technologies and products in database and data processing for integration and storage
21. Assess the suitability of data structures to ensure availability, integrity, quality, scalability and accessibility of data
22. Create data storage plans and solutions for information storage and extraction
23. Build data flow channels and processing systems to extract, transform, load and integrate data
24. Validate data extraction, preparation and processing systems for accuracy of data and outputs
25. Lead project rollouts, upgrades, implementation and release of data system changes
26. Build a metadata system to ensure documentation and cataloging of all available data
27. Analyze data system performance and develop solutions for improvements
28. Ensure the security, privacy and anonymity of users accessing data systems
29. Formulate data backup and fail-safe plans as part of business continuity planning Business Intelligence and Strategy
30. Devise procedures to solve complex operational issues
31. Develop dashboards and provide regular status reports to immediate superior.
32. Oversee the translation of requirements documentation to systems requirement specifications
33. Act as the main point of contact for escalated issues
34. Oversee the conduct of User Acceptance Testing (UAT) and integration testing
35. Manage the conduct of change management programs and initiatives to drive the adoption of new and/or enhanced technologies including data- and AI-related solutions
36. Function as the liaison between users and technical team throughout the implementation cycle
37. Manage risks associated with new solutions and/or proposed enhancements
38. Ensure that business requirements are incorporated into the solution design
39. Translate business requirements and user needs into functional and technical specifications
40. Translate business needs and requirements into potential Artificial Intelligence (AI) and/or analytics problems
41. Guide the design and development teams towards smooth solutions integration
42. Conduct cost-benefit and risk assessment analyses for proposed solutions to determine suitability of solutions
43. Present business cases defining potential benefits, solutions to increase efficiencies of business processes and associated risks 44. Identify opportunities where AI and analytics can address business and user needs and create value
45. Oversee the development of different components within the proposed solutions and/or enhancements
46. Evaluate the feasibility, viability and implications of proposed solutions and/or enhancements to systems on the current and future business environment
47. Oversee the evaluation of proposed solutions and/or enhancements to ensure its feasibility, viability and efficiency
48. Design the solution blueprints for the specific areas of expertise with the consideration of implications for integration across the entire solution
49. Analyze inter-dependencies and inter-linkages of systems and processes across the organization
50. Recommend proposed solutions and/or enhancements to improve and optimize processes, workflows, performance and systems Others
51. Performs other related duties and responsibilities as specified by the immediate supervisor.
PERFORMANCE ASSESSMENTUNIT COORDINATOR
1. Position Objective: To coordinate and facilitate the activities of the Performance Assessment Unit. This role ensures effective communication, collaboration, and alignment among stakeholders, subject matter experts, and team members involved in performance evaluation, monitoring, and optimization efforts.
2. Linkages:
Immediate Superior: DMAU Head
Subordinates: Performance Assessment Unit Associates
Coordinates: OIER Centers and linked Offices
3. Duties and Responsibilities Performance and Communications Management
1. Assists the DMAU Head in preparation of the budget and in the formulation of strategy and architecture for the unit's use of information systems and technology
2. Create reports and deliverables assessment (Mid-year and Final PAFB for AS and SS)
3. Monitor and track the team’s progress in report preparation Academic:
3.1. SPaCe Training Assessment
3.2. Seminar Workshop (CSBGRAD)
3.3. Thesis Adviser Evaluation
3.4. Counselor Evaluation
3.5. LATCH series
3.6. PARF
3.7 Academic Advising Evaluation
3.8 OJT Advisers Evaluation Non Academic:
3.9 Administrators Evaluation
3.10 Renewal, Promotion and Permanency Reports
3.11 Retreat and Recollection
3.12 Cafeteria Evaluation
3.13 CSB Contracted Services
3.14 Service/Customer Feedback Form
3.15 Student’s Satisfaction Survey
4. Works with relevant teams/offices (e.g. PODO, OVPA, DTO, RO, OC) regarding various data necessary for evaluation.
5. Facilitates routing of evaluation memo for signature (Chancellor, OVPA etc)
6. Sends communication via email to CSB Community on evaluation activities (Cafeteria, Contracted Services, Students Satisfaction Survey etc)
7. Disseminate Google evaluation links to CLM, SPaCE etc.
8. Disseminates all reports to stakeholders via email.
9. Monitors the response rate of the students on online evaluation and updates the DMAU Head.
10. Assigns the workload of PAU personnel.
11. Evaluates the performance of the staff under his/her supervision.
12. Acts as the PAU representative in the absence of the DMAU Head.
13. Handle queries from other offices as assigned by the DMAU Head or Office Director. Data Quality Management and Information Governance
14. Organizes the data of various periodic reports as per request (e.g AUN-AU Accreditation, PAASCU etc.).
15. Conduct extraction of data for processing. (e.g. Retreat and Recollection, CSBGRAD etc)
16. Validate the final report/write up of all performance assessment evaluations prior to submission to DMAU Head and release to the stakeholders.
17. Participate in data innovation projects of the Unit.
18. Propose/suggests improvements processes of the Unit.
19. Oversee and assist in gathering data for various evaluation requirements.
20. Ensures the safety, integrity and confidentiality of the evaluation data instruments/forms and results. Others
21. Attends training programs and learning sessions for the enhancement of professional, technical, and personal proficiencies. 22. Performs other related duties and responsibilities as specified by the immediate supervisor.
DATA MANAGEMENTANDANALYTICSASSISTANT
1. Position Objective: To assist the Data Management and Analytics Specialist in aggregating, recording, and processing educational data from scores, observations, interviews, case studies, academic averages, follow-up questionnaires, performance assessments and other instruments or sources.
2. Linkages:
Immediate Superior: Data Management and Analytics Specialist
Subordinates: None Coordinates: Center for Institutional Effectiveness and linked offices
3. Duties and Responsibilities Internal Processes Accountability
1. Gathers data culled from forms and instruments, or during focus group discussions and interviews administered during actual research
a. Evaluate potential biases in datasets and contribute to developing safety measures to mitigate these biases.
b. Assist in verifying the quality and appropriateness of data used in research projects
c. Support the assessment of data extraction methods to ensure they align with specific research needs.
d. Participate in the exploration of new data sources and methodologies to augment the effectiveness of research initiatives.
2. Processes and synthesizes data collected through the use of statistical and data compilation such as but not limited to SPSS and MS Access.
3. Conducts other forms of data cleaning, data sorting, and data verification.
4. Extracts data to address specific requests: a. Coordinates and collaborates with data providers to generate appropriate analysis of data (e.g. ISPC, RO, AdC). b. Drafts report summarizing evaluation of data extracted and assists in the preparation of the reports, and submits these to his/her superior for finalization. c. Writes review of related literature. d. Whenever necessary, translates the reports into presentation materials for approval of the superiors.
5. Ensures operating efficiency of the online assessment facility.
a. Maintains the online system of instruments and feedback mechanisms.
b. Monitors error reports and improvement related feedback and relays these to superiors.
c. Ensures that reports and concerns are acted upon.
6. Assists in the maintenance of longitudinal databases for the Center’s data mining projects. Technical Specifications Development
7. Assist in developing procedures to address operational issues.
8. Help in creating dashboards and compiling status reports for the project managers.
9. Serve as a junior liaison between users and the technical team during the implementation cycle
10. Assist in the automation of the data collection and analysis processes, data releasing and reporting tools. Conduct research on ML models and algorithms
11. Perform statistical analysis and fine tuning of the models using test results.
12. Contribute to the analysis of results from various research projects to identify potential new areas of research.
13. Participate in the analysis and preliminary testing of models to ensure their accuracy and effectiveness. Others
14. Performs other related duties and responsibilities as specified by the immediate supervisor.
OPERATIONS ASSISTANT
1. Position Objective: To support and coordinate for the organization's operational activities, ensuring efficient and effective execution of processes and procedures. This role collaborates with cross-functional teams, stakeholders, and subject matter experts to facilitate operational tasks, monitor performance, and contribute to continuous improvement efforts.
2. Linkages: Immediate Superior: DMAU Head Coordinates: OIER Centers and linked Offices
3. Duties and Responsibilities Operations and Communications Management
1. Provides administrative and secretarial support to the Unit regarding operations, records management and budget assistance.
2. Communicates orally/written/virtual messages and concerns.
3. Operates and/or coordinates the use and servicing of office equipment.
4. Organizes and prepares the schedule of DMAU activities.
4.1. Schedules appointments for meetings and guests.
4.2. Transcribes and documents minutes of meetings as assigned.
5. Prepares and schedules logistical requirements for various projects/programs of the office.
6. Prepares materials for learning sessions
7. Monitors the monthly expenditure statements for budgets and prepares documents required to maintain balanced accounts for review and approval by DMAU Head.
8. Aid in understanding the information needs of stakeholders for decision-making.
9. Contribute to translating business needs into basic analytics and reporting requirements. Documentation and Records Management
10. Maintains, updates, and archives office documents and activities
11. Conducts inventory of DMAU material.
12. Prepares, processes, and tracks various request forms for the office/department as directed:
12.1. Payment Requisition Slip.
12.2. Material Requisition Form.
12.4. Food Requisition.
12.5. Other similar forms within the College Data Quality Management and Information Governance
13. Prepare and analyze data
14. Assist in gathering data from internal systems and external sources.
15. Conduct initial data validation and quality control checks.
16. Execute data entry tasks in data collection systems.
17. Contribute to translating business needs into basic analytics and reporting requirements.
ACADEMIC ASSESSMENT ASSISTANT
1. Position Objective: To support the institution's efforts in evaluating and improving academic programs, courses, and student learning outcomes. This role collaborates with faculty, administrators, and other stakeholders to facilitate effective assessment processes, data collection, and reporting.
2. Linkages:
Immediate Superior: Performance Assessment Unit Coordinator
Coordinates: OIER Centers and linked Offices
3. Duties and Responsibilities Performance and Communications Management
1. Performs basic extract and transform assessment results of the following:
1.1. SPaCE Training Assessment
1.2. Thesis Advisers Evaluation
1.3. Academic Advisers’ Evaluation
1.4. OJT Advisers’ Evaluation
1.5. ASF Renewal/Permanency Evaluation
1.6. Personnel Performance Evaluation for Permanency of Administrative and Support Staff Associate
1.7. Administrators’ Evaluation
2. Creates summary write-up of all assigned evaluation reports.
3. Prepares fillable/Google form evaluation of the following:
3.1. Thesis/Capstone Advisers’ Evaluation
3.2. Academic Advisers’ Evaluation
3.3. OJT Advisers’ Evaluation (SDG-CDA)
3.4. ASF Renewal/Permanency Evaluation Form
3.5. Personnel Performance Evaluation Form for Permanency of Administrative and Support Staff Associate.
4. Works with relevant teams/offices (e.g., DTO, PODO) regarding data necessary for evaluation. Data Quality Management and Information Governance
5. Cleans and updates data collected for Peer Assistance Review Form (PARF) evaluation.
6. Prepares summary of evaluation results for renewal/permanency of ASF and FTF.
7. Gathers data from internal and external sources in preparation for:
7.1 STAR/LATCH
7.2 Peer Assessment Review Form (PARF)
8. Performs data validation and quality checks the various assessment results (Mid-Year and Final PAFB for Administrative Staff and Support Staff; Retreat and Recollection; CSB Contracted Services; etc.).
9. Assists in conducting and gathering data for various evaluation requirements.
10. Monitors the response rate of online evaluation and updates the PAU Coordinator.
11. Assists in overseeing the timely uploading of evaluation results online.
12. Assists in attending queries regarding online evaluation.
13. Performs data entry tasks in data collection systems (Power BI).
14. Assists the PAU Coordinator in organization of data of various periodic reports as per requests.
15. Ensures the security, integrity, and confidentiality of evaluation materials and results at all times. Others
16. Participates in data innovation projects.
17. Attends training programs and learning sessions for the enhancement of professional, technical, and personal proficiencies.
18. Performs other related duties and responsibilities as specified by the immediate supervisor.
STUDENT SERVICES ASSESSMENT ASSISTANT
1. Position Objective: To support the evaluation and continuous improvement of student services and support programs within the institution. This role collaborates with student affairs professionals, faculty, and other stakeholders to facilitate assessment activities, data collection, and reporting related to student services.
2. Linkages:
Immediate Superior: Performance Assessment Unit Coordinator
Coordinates: OIER Centers and linked Offices
3. Duties and Responsibilities Performance and Communications Management
1. Performs basic extract and transform assessment results of the following:
1.1 Retreat and Recollection
1.2 CSBGRAD Seminar Workshop
1.3 Counseling Interview Evaluation
2. Create reports and deliverables of PAFB for AS/SS.
3. Prepares the CLUS and MLUS list of laboratory rooms as well as memos for teachers and students. 4. Creates summary write-up of all assigned evaluation reports. Data Quality Management and Information Governance 5. Performs data entry tasks in data collection systems (Power BI).
6. Performs data validation and quality checks the various assessment results (LATCH; Administrators’ Annual Evaluation; Renewal/Permanency Evaluation; etc).
7. Prepares Google evaluation form and QR code of Retreat and Recollection evaluation and BWC evaluation.
8. Assists in conducting and gathering data for various evaluation requirements.
9. Assists in attending queries regarding online evaluation.
10. Assists the PAU Coordinator in organization of data of various periodic reports as per requests.
11. Ensures the security, integrity, and confidentiality of evaluation materials and results at all times. 12. Propose solutions and recommendations to address information need
13. Participate in data innovation projects.
14. Update Google link as necessary.
15. Participate in designing basic data reports and visualization tools for initial data interpretation. Others 16. Attends training programs and learning sessions for the enhancement of professional, technical, and personal proficiencies.
INSTITUTIONAL ASSESSMENT ASSISTANT
1. Position Objective: To support the evaluation and continuous improvement of institutional services and operations. This role collaborates with faculty, staff, administrators, and other stakeholders to facilitate assessment activities, data collection, analysis, and reporting related to institutional assessment of services and operations..
2. Linkages:
Immediate Superior: Performance Assessment Unit Coordinator
Coordinates: OIER Centers and linked Offices
3. Duties and Responsibilities Performance and Communications Management
1. Performs basic extract, transform and load related activities to prepare data for analysis or transfer:
a. CSBContracted Services Evaluation
b. Cafeteria Evaluation
c. Services/Customer Feedback Evaluation
d. Student Satisfaction Survey
2. Assists in attending queries regarding manual and online evaluation.
3. Prepares summary write-up of all assigned evaluation reports.
4. Monitors the response rate of online evaluation and updates the PAU Coordinator. Data Quality Management and Information Governance 5. Execute data entry tasks in data collection systems.
6. Design data reports and visualization tools to facilitate data
7. Performs data validation and quality control checks (PAFB for AS and SS, Renewal and Permanency, etc.)
8. Leads in the data gathering administration of Cafeteria and CSB Contracted Services evaluation.
9. Gather data from internal systems and external sources 10. Assists the PAU Coordinator in organization of data of various periodic reports as per request.
11. Ensures the security, integrity, and confidentiality of evaluation materials and results at all times
12. Participates in data innovation projects. Others
13. Attends training programs and learning sessions for the enhancement of professional, technical, and personal proficiencies.
14. Performs other related duties and responsibilities as specified by the immediate supervisor.
DATA VALIDATOR
1. Position Objective: To ensure the integrity, accuracy, and quality of data within the organization. This role collaborates with data owners, stakeholders, and technical teams to define and implement data validation rules, processes, and procedures.
2. Linkages:
Immediate Superior: Performance Assessment Unit Coordinator
Coordinates: OIER Centers and linked Offices
3. Duties and Responsibilities Performance and Communications Management
1. Performs initial data validation and quality checks of all evaluation processed results
2. Collaborate with data owners and stakeholders to establish data quality metrics and monitoring.
3. Creates summary write-up of all assigned evaluation reports. Data Quality Management and Information Governance
4. Assists in conducting data gathering for various evaluation activities
5. Suggests innovative improvements of Units processes.
6. Ensure data integrity and accuracy by implementing data validation rules, processes, and procedures
7. Participate in data innovation projects of the Unit 8. Assists the PAU Coordinator in organization of data of various periodic reports as per requests. Others
9. Performs other related duties and responsibilities as specified by the immediate supervisor.
10. Attends training programs and learning sessions for the enhancement of professional, technical, and personal proficiencies.