Data Program & Impact Manager

Hope Media Group•New Caney, TX

3d•Onsite

About The Position

Hope Media Group is seeking an AI-enabled Data Program & Impact Manager to help our Data Science & Analytics team translate its work into meaningful organizational and ministry outcomes. This role will manage a diverse portfolio of internal data initiatives, stakeholder projects, analytical deliverables, recurring responsibilities, and proactively discovered insights. The successful candidate will create clarity across the team’s priorities, reduce coordination burden on technical staff, strengthen stakeholder accountability, and ensure valuable insights lead to documented decisions and action. The role extends beyond traditional project delivery. It will help manage the full lifecycle of data work: Request ? prioritization ? execution ? delivery ? adoption ? action ? measurable contribution. AI-enabled working is a core expectation. The successful candidate will use approved generative AI, automation, and project-management tools to rapidly understand the team’s work, structure ambiguous information, improve communication, automate routine coordination, identify risks, and increase personal and team productivity.

Requirements

Bachelor's degree in Data Analytics, Business Administration, Information Systems, Statistics, Public Administration, Organizational Leadership, Social Sciences, Nonprofit Management, a related field, or at least 10 years experience.
5-7 years experience managing cross-functional technical, analytical, digital, product, operational, or data-related projects or programs.
Demonstrated practical use of generative AI and automation to improve professional workflows.
Ability to organize multiple projects, priorities, stakeholders, dependencies, and deadlines.
Strong written, verbal, facilitation, and stakeholder-management skills.
Ability to translate between technical specialists and nontechnical stakeholders.
Ability to clarify ambiguous requests and convert them into actionable plans.
Strong systems thinking and the ability to connect project outputs to organizational decisions and outcomes.
Willingness to constructively address unresolved decisions, unclear ownership, missed commitments, and delayed action.
Strong judgment regarding confidentiality, AI verification, data handling, and responsible technology use.
Commitment to Hope Media Group’s mission, values, and stewardship responsibilities.
Experience supporting data science, analytics, business intelligence, data engineering, AI, experimentation, or software teams.
Experience with benefits realization, outcome measurement, adoption measurement, program evaluation, or return-on-investment analysis.
Familiarity with agile, Kanban, product operations, or portfolio-management practices.
Experience in nonprofit, ministry, media, fundraising, digital engagement, or another mission-driven environment.
Familiarity with Microsoft 365, Teams, Power BI, GitHub, project-management platforms, enterprise AI tools, or workflow-automation systems.
Committed to a personal relationship with Jesus Christ
Grounded spiritually and biblically literate
Comfortable praying for co-workers in team meetings, leading spoken prayer, and participating in ministry prayer meetings and Bible studies
Live Christian principles defined by the ministry’s Statement of Faith & Biblical Beliefs
Participate in on-air fundraisers and prays for donors as needed
Passion for leveraging the HMG’s media platforms for evangelism and discipleship
Exhibit a strong moral character
Active member of a Bible believing local church

Nice To Haves

PMP, Agile, Scrum, change-management, or related certification is beneficial but not required.
Heart for Christian ministry
Strong moral character
Has a personal relationship with Jesus Christ. Spiritually grounded and working knowledge of scripture
Must be an active member of a Bible believing local church

Responsibilities

Maintain a unified portfolio of active, planned, recurring, and exploratory data-team work.
Establish clear objectives, owners, priorities, milestones, dependencies, risks, and success criteria.
Partner with data-team leadership to prioritize work based on ministry value, organizational need, urgency, effort, risk, and available capacity.
Develop consistent processes for project intake, scoping, prioritization, status reporting, and follow-through.
Identify stalled decisions, conflicting priorities, unclear ownership, and scope changes before they materially affect delivery.
Facilitate useful planning sessions, project reviews, stakeholder updates, and retrospectives without introducing unnecessary bureaucracy.
Translate stakeholder needs into clear problem statements, requirements, decisions, and measurable objectives.
Translate technical findings, limitations, and recommendations into understandable operational and executive language.
Identify the appropriate sponsor, decision-maker, operational owner, and beneficiary for significant initiatives.
Manage stakeholder expectations, commitments, dependencies, and follow-up.
Ensure stakeholders understand what was delivered, what the evidence supports, what remains uncertain, and what action is recommended.
Maintain a system for tracking significant insights from discovery through stakeholder decision, action, and outcome.
Ensure material recommendations are assigned to a named stakeholder or decision owner.
Obtain and document an explicit disposition for important recommendations, such as accepted, deferred, modified, or declined.
Follow up on accepted recommendations to determine whether action was taken and what resulted.
Help define expected benefits, baseline measures, targets, outcome indicators, and measurement plans for qualifying projects.
Track evidence of the data team’s financial, operational, audience, donor, and ministry contributions.
Partner with data scientists and analysts to distinguish direct attribution from broader evidence-supported contribution.
Develop concise portfolio reporting and case studies demonstrating how data-team work supports Hope Media Group’s mission.
Use approved AI and automation tools as a normal part of daily work.
Turn meetings, transcripts, emails, and documentation into reviewed summaries, decisions, tasks, risks, and follow-up actions.
Use AI to draft project briefs, requirements, agendas, status updates, stakeholder communications, and executive summaries.
Develop reusable prompts, templates, agents, and automated workflows that reduce repetitive administrative work.
Use AI to identify missing requirements, unresolved questions, contradictory assumptions, project risks, and potential scope drift.
Review and verify AI-generated work and protect confidential information in accordance with organizational standards.
Identify and measure additional opportunities for AI to improve the team’s speed, quality, and effectiveness.
Maintain accessible project briefs, decision logs, stakeholder records, process documentation, and lessons learned.
Preserve institutional knowledge that might otherwise remain in meetings, individual employees, or disconnected documents.
Analyze project history to identify recurring bottlenecks, rework, delays, and opportunities for improvement.
Build practical systems that improve reliability while protecting technical staff from unnecessary administrative burden.