Senior Program Analyst, Data Products & AI (Ncs) - Mayor's Office Of Performance And Innovation

THIS IS A NON-CIVIL SERVICE POSITION

GRANT-FUNDED POSITION

TERM APPOINTMENT NOT TO EXCEED DECEMBER 31, 2026

Salary Range:

$88,715.00 - $152,509.00 Annually

Starting Pay Range:

$88,715.00 - $120,612.00 Annually

Get to Know Us

Welcome to the City of Baltimore! Experience the reward of a fulfilling career and enjoy the added element of excitement in a vibrant, diverse atmosphere. The City of Baltimore offers limitless opportunities to help drive social impact, both on the job and in the community, while serving its citizens. Join us in making Baltimore a great place to live and work. In the City of Baltimore, we hire great people and provide them with the skills and opportunities to grow toward their career aspirations. If you are looking for a career change or are interested in learning more, explore our opportunities and benefits programs. We are excited to have you as a part of the City of Baltimore Team! The city offers medical, prescription drug, dental, vision, optional life, AD&D, and FSA plans. This office also supplies wellness programs, support groups, and workshops. You can learn about our benefits here: https://humanresources.baltimorecity.gov/hr-divisions/benefits

NOTE: GRANT FUNDED POSITIONS ARE NOT ELIGIBLE FOR RETIREMENT BENEFITS

Job Summary

The Senior Program Analyst, Data Products & AI is a hybrid analytics-and-builder role within the Director's Office. This position leads data and analytics projects on behalf of city agencies and the Mayor's Office, moving from problem framing to analysis to decision-ready deliverables to durable tools. The role blends applied analytics and statistical modeling, data products and lightweight applications, integrations and automation, and AI proof-of-concepts (POCs) that are safe, evaluated, and operationally relevant. This role partners closely with the Baltimore Design Lab, CitiStat team, and works directly with agency staff to translate operational questions into clear measures, actionable insights, and usable tools.

Essential Functions

Analytics and Applied Research

• Lead rapid-turn analyses for agencies and OPI leadership by framing questions, defining measures, establishing baselines, and translating findings into clear recommendations.
• Develop reproducible analyses using Python and SQL, including feature engineering, descriptive and inferential statistics, and predictive modeling where appropriate.
• Build analyses and visuals using BI, GIS and related analytics products.
• Produce dashboards and data products to support operations research and analytics.
• Design and execute AI POCs for city use cases, with clear success measures and baseline comparisons.
• Develop evaluation plans for AI POCs, test failure modes, and produce clear go/no-go recommendations that address value, risk, and operational fit.
• Conduct operational, policy, and program analyses using administrative data (including 311, permitting, water billing, housing, inspections), clearly communicating assumptions, uncertainty, and limitations.
• Translate technical outputs into clear briefings, visuals, and decision materials for executive leadership, CitiStat sessions, and agency partners as appropriate.

Data Products and Delivery

• Build decision-ready products such as dashboards, parameterized reports, reusable datasets, and lightweight web applications that surface analytic outputs and progress against targets.
• Build and maintain simple internal tools and UIs and partner with engineers to productionize and scale when needed.
• Develop and support data integrations (APIs, extracts, automation patterns) in collaboration with platform and engineering staff so analytic products can be sustained.
• Maintain code, notebooks, queries, and documentation in shared repositories with clear READMEs and reproducible methods.
• Create reusable templates (analysis plans, model evaluation notes, dashboard specifications, data dictionaries) to accelerate delivery across future requests.
• Support lightweight project leadership across ad-hoc engagements, including milestones, dependencies, risks, and close-the-loop follow-up with stakeholders.

Stakeholder Engagement

• Lead lightweight discovery with agency teams and end users (frontline staff, supervisors, analysts, program owners) to clarify the problem, map workflows, document requirements, and define success measures for analytics products and AI POCs.
• Conduct targeted user engagement activities including interviews, observation/shadowing, short surveys, and structured feedback sessions to validate assumptions and ensure tools reflect operational reality.
• Facilitate working sessions with stakeholders to review prototypes (dashboards, internal tools, model outputs), incorporate feedback, and drive adoption through iterative improvement.
• Translate user needs into clear product artifacts (problem statements, user stories, functional requirements, data requirements, and acceptance criteria) and partner with engineering/platform teams to deliver and scale solutions.
• Develop enablement materials that support sustained use (quick-start guides, training decks, office hours, metric definitions, and data caveats) and establish simple feedback loops to monitor usefulness and improve over time.
• Ensure engagement practices reflect equity and accessibility considerations by intentionally including perspectives from staff closest to the work and communities most affected by the service area, as appropriate to the project scope.

This is an in-office position with a hybrid option for a maximum of one day per week. Employees are expected to report physically to City Hall at least four days per week. Employees in this class work a conventional work week. This position may be required to work evening and weekend hours and 24-hour callback in an emergency. Work is performed in an office where work conditions are normal. Work requires minimal physical exertion.

Supervision received: Incumbents receive managerial supervision from an administrative superior.

Minimum Qualifications

Education: Bachelor's degree in data science, statistics, economics, computer science, public policy, urban planning, geography, or a related field; or equivalent experience

AND

Experience: Five or more years in applied analytics or data science, with experience producing dashboards, APIs, or web apps that surface analytic results; Experience partnering with stakeholders to frame problems, define measures, and deliver decision-ready outputs; Experience leading or supporting AI pilots or advanced analytics initiatives is preferred.

OR

Equivalency Notes: Have an equivalent combination of education and experience. Non- supervisory experience or education may not be substituted for the required supervisory experience.

Additional Information

Background Check

Eligible candidates under final consideration for appointment to positions identified as positions of trust will be required to complete authorization for a Criminal Background Check and/or Fingerprint screening, and must be successfully completed.

Probation

All persons, including current City employees, selected for this position must complete a 6-MONTH mandatory probation.

Financial Disclosure

This position is required to complete a Financial Disclosure pursuant to Sections 7-7, 7-8, and 7-9 of the City Ethics Law.

Baltimore City Government is an Equal Employment Opportunity Employer, and we are committed to a workplace that values diversity, equity, and inclusion. The City of Baltimore prohibits discrimination on the basis of race, color, religion, age, sex, ancestry, creed, national origin, disability status, genetics, marital status, military service, sexual orientation, gender identity/expression, or any other characteristic protected by federal, state, or local laws. Applicants requiring accommodation during the hiring process should contact the Department of Human Resources directly. Requests for accommodation should not be attached to the application.

BALTIMORE CITY IS AN EQUAL OPPORTUNITY EMPLOYER