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Decision Science Manager

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Published 15 days ago

Position: Decision Science Manager

Reports to: Assistant Director of Decision Science

Status: Full-Time; option to work remotely

Start: ASAP

THE JOB

The Decision Science Department at The Opportunity Network (OppNet) is looking for a dynamic and driven individual to join our team as Decision Science Manager. We are looking for a candidate who brings relevant skills and interest to the role, maturity and ownership of their work, and is looking for an opportunity to seize a career-enhancing opportunity in a fast-paced, growing organization. Reporting to the Assistant Director of Decision Science, the Decision Science Manager will create, manage, and oversee systems for collecting, managing, and reporting data across the organization and its Programs (Fellows, Partnerships, & UninterruptED). Additionally, the Decision Science Manager will enhance OppNet’s data-driven practices through rigorous planning and reporting, continuous quality improvement, and other short- and long-term forms of program evaluation. Finally, the Decision Science Manager will support efforts to build student (Fellows, alumni, and Partner students) and staff capacity to make decisions informed by the best available data, as well as to participate in a mutual exchange of insights with peer organizations in the field.

THE ORGANIZATION, DEPARTMENT, & DATA, ACTIVATED!

Since 2003, The Opportunity Network has ignited the drive, curiosity, and agency of students from historically and systematically underrepresented communities to connect them to college access and success, internships, career opportunities, and personal and professional networks. Our three core programs—OppNet Fellows, Career Fluency® Partnerships, and UninterruptED—are anchored in our proprietary Career Fluency® curriculum, which articulates the necessary skills and mindsets for college and career readiness. All of the work OppNet leads is in service of realizing our vision of a nation connected through vibrant communities and networks actively in pursuit of social justice and educational equity–a nation where all young people can freely create their own path to enduring success that honors their passions, ambitions, and full identities. We channel our core values in pursuit of this vision: (1) galvanize community while celebrating the individual; (2) maximize the power of storytelling; (3) center social and racial equity relentlessly; (4) activate solutions through assets, not deficits; and (5) pursue impact that lasts.

The Decision Science Department is a newly formed cross-organizational, cross-functional team that anchors OppNet’s data-driven culture to its core purpose: to make better and more responsive decisions in relation to programming, operations, and overall organizational health using the best available data. In partnership with staff, leadership, young people, and other key communities, the Decision Science Department advances this purpose through data engineering, data science & evaluation, data analytics, data collection and other forms of fact finding, data equity practices, and by cultivating organizational, staff, and student capacity to make decisions that are informed by data and evaluation.

The “Data, Activated!” Program is an in-house, virtual data analytical skill- and leadership-building program for students within our Fellows program that is focused on activating data to solve problems. The 5-week program consists of real-time classes to introduce new concepts and skills, one-on-one coaching appointments (“office hours”) to apply and stretch those skills, peer learning community meetings for Fellows to build community and explore content of collective interest, and opportunities to network with decision science professionals in the field. All program content is anchored by our commitment to Youth Participatory Action Research, shared power with youth, and culturally responsive practices. “Data, Activated!” culminates with virtual presentations of participants’ findings, interpretations, and recommendations to a group of OppNet staff and leadership, after which at least one Fellows-sourced change idea is selected for implementation in OppNet’s Fellows Program.

THE PERSON

The ideal candidate will be a strategic, highly organized, and driven individual with a passion for advancing educational, racial, social, and data equity. A professional with at least 3-5 years of applied experience in a broad range of decision science-related work, the ideal candidate will have demonstrated passion and skills for applying decision science to advance a team’s goals, programming, policy, health, and/or equity. The ideal candidate will consider relationship management to be an important aspect of successful project management, and will have outstanding communication skills. They will be able to balance working collaboratively and productively with colleagues across the organization with the ability to work independently, all with focus and a drive for quality. They will be highly organized and detail-oriented. The ideal candidate will also personally connect to the important work we do, value diversity, equity, and inclusion (DE&I) across the organization, and align themselves with and channel OppNet’s core values in all aspects of their work. The candidate will demonstrate DE&I values by actively participating in all organizational-wide learning sessions and self-reflection as well as working with others to enact changes that contribute to meeting the organization’s DE&I goals.

RESPONSIBILITIES

Under the supervision of and in partnership with the Assistant Director of Decision Science, the Decision Science Manager will own the following responsibilities:

Decision Science Project Management (30%)

  • In close partnership with program managers/directors, manage the maintenance and timely entry of information into OppNet’s Metrics Database and Core Competencies Tracker
  • In partnership with program managers/directors, create & update program-specific data collection schedules. Monitor program data collection schedules and liaise with program managers to ensure adherence to schedule
  • Lead preparation for Data Committee meetings by coordinating operations and logistics and maintaining OppNet’s metrics database
  • In partnership with program managers/directors and Data Committee members, coordinate preparation for end-of-year reporting

Program Evaluation & Reporting (20%)

  • Consult on and develop targets, goals, metrics, KPI’s, and other short- and long-term indicators of success for offerings across the organization. Consult on and develop the measure tools that will be used to assess these outcomes.
  • In partnership with relevant staff, develop and monitor progression of a portfolio of continuous improvement study projects yearly
  • Coordinate collection of necessary data and deliverable reports as called for by Senior Management Team and in partnership with Development team members for grant reporting
  • Execute on short-cycle data analytical projects that have implications for organizational health, programming, and/or equity

Data Engineering (20%)

  • Consult on, develop plans for, and execute data engineering needs in order to maintain and enhance the infrastructure needed for consistent data management and reporting across the organization (Programs: Fellows, Partnerships, UninterruptED; Organizational).
  • Monitor, respond to, assign, and triage administrative (Salesforce, FormAssembly, and analytical) requests from staff. Execute the requests on an agreed-upon timeline, and make recommendations for improvements to the system through which requests are received.
  • Join the UninterruptED task force and apply decision science principles to advance the development of the e-learning platform.

Capacity-Building: Fellows, Staff, Organization (30%)

Fellows—Data, Activated!: Set the Program up for success, oversee Program operations, and evaluate Program effectiveness

  • Set the Program up for Success:
  • Create application materials, serve as point of contact for applicants, and select applicants for admission
  • Create dataset(s) for participant use
  • Recruit, hire, onboard, and manage P/T Summer Undergraduate Operations Intern (temporary position)
  • Develop program goals, targets, metrics, and KPIs.
  • Oversee Program Operations:
  • Coach the P/T Summer Undergraduate Operations Intern to achieve their operations and logistical responsibilities, including coordinating class meetings, tracking attendance, maintaining Google Classroom, administering pre- and post assessments, distributing Program evaluations, and coordinating Peer Learning Community Meetings
  • Evaluate Program Effectiveness:
  • Compose the culminating program report, synthesizing learnings from the pre-/post-assessments (knowledge, skill, and competency gains) and program & staff evaluations.

Fellows—Data Delegates: Support the launch of the Data Delegates Program, a standing body of Fellows and alumni who apply different decision science assets to support programmatic decision-making

  • Coordinate with Data Delegates to schedule and plan regular meetings.
  • Co-facilitate Data Delegates meetings and manage follow-up re: action items and timeline.
  • Be primary touchpoint for Delegates regarding operations, compensation, and support with their analytical work.

Staff—Cultivate staff capacity to make decisions that are informed by data and evaluation:

  • Develop and co-facilitate professional development of decision science fundamentals
  • Conduct an organizational scan of decision science assets in order to understand how and under what conditions staff are already utilizing decision science, and in what ways would they like to extend their decision science practices
  • Participate in regular reviews of relevant literature and research; producing summary and disseminating learnings to appropriate staff.
  • Contribute to OppNet’s guide for equity in decision science practices.

QUALIFICATIONS

  • Demonstrated belief in OppNet’s mission and vision, and demonstrated alignment with OppNet’s core values
  • BA/BS or AA/AS in a decision-science-related field, with an additional 3-5 years of cumulative experience in a broad range of decision science-related work, including data engineering, data science, program evaluation, data analytics, and/or data management.
  • As part of the above experience:
  • Minimum of 3 years of demonstrated project management experience. Experience managing department and/or organization-wide projects and laterally managing staff a must. Project management skill set includes:
  • Ability to keep multiple projects moving toward successful completion
  • Ability to set, meet, and hold peers accountable to deadlines
  • Strong verbal, written, and oral communication skills for collaborating across teams
  • Outstanding organizational skills
  • Minimum 2 years of database management, database administration, data engineering, or other relevant experience in developing and maintaining data infrastructures.
  • Minimum 2 years of experience managing key elements of an evaluation, including project design (research questions, metrics, methodology), data collection and sourcing, analysis, interpretation, and communication/distribution (selecting an audience, designing visualizations, composing deliverables).
  • Experience with developing and/or implementing short-cycle continuous improvement studies
  • Experience coordinating the implementation of a Program, course, conference, workshop, or similar
  • Intermediate Salesforce knowledge and facility (or advanced knowledge and facility with another CRM platform) a must; FormAssembly knowledge a huge plus
  • Experience with education technology and/or learning analytics a huge plus
  • Excellent communication skills; can translate complex technical terms and processes to a lay audience
  • Demonstrated investment in developing the capacity of stakeholders to make decisions informed by data, evaluation, and/or research
  • Self-starter with hunger for growth; seeks and takes initiative and would thrive—both professionally and creatively—in a growing department that is increasingly expansive in vision.
  • Demonstrated ability to connect with young adults from historically and systematically underrepresented communities.
  • Availability and willingness to work select evenings and some weekends (with ample notice given)
  • You must be available to work within Eastern Standard Time operating hours. Please note that OppNet’s business hours are 10a-6p EST.
  • Must be able to travel into OppNet’s offices (based in lower Manhattan, New York) when needed (at a reasonable and agreed upon frequency, with ample notice given and travel/lodging costs covered). Any candidate who can travel into lower Manhattan when needed and can work from 10a-6p EST is welcome to apply - remote or otherwise.

COMPENSATION

Commensurate with experience, full medical benefits, generous paid time off policy, retirement plan, and a great work environment.

TO APPLY

Please submit a resume and cover letter, outlining how your credentials relate specifically to the responsibilities and qualifications listed above, earliest available start date, and salary requirements to katherine@opportunitynetwork.org. Please include “Decision Science Manager” in the subject line of your email.

Position: Decision Science Manager

Reports to: Assistant Director of Decision Science

Status: Full-Time; option to work remotely

Start: ASAP

THE JOB

The Decision Science Department at The Opportunity Network (OppNet) is looking for a…

Details at a Glance

  • Time Commitment
    Full Time Schedule

Location

Remote
Work may be performed anywhere in United States
Associated Location
85 Broad Street, 6th Floor, New York, NY 10004, United States

How to Apply

Please submit a resume and cover letter, outlining how your credentials relate specifically to the responsibilities and qualifications listed above, earliest available start date, and salary requirements to katherine@opportunitynetwork.org. Please include “Decision Science Manager” in the subject line of your email.

Please submit a resume and cover letter, outlining how your credentials relate specifically to the responsibilities and qualifications listed above, earliest available start…

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