Apply on Employer Site

City of Baltimore · 1 day ago

Senior Program Analyst, Data Products & AI (NCS) - Mayor's Office of Performance and Innovation

Baltimore, MD

Full-time

Hybrid

Senior Level

$89K/yr - $153K/yr

5+ years exp

The City of Baltimore is seeking a Senior Program Analyst for Data Products & AI within the Mayor's Office of Performance and Innovation. This role involves leading data and analytics projects, developing AI proof-of-concepts, and translating operational questions into actionable insights for city agencies. The position requires collaboration with various stakeholders to enhance decision-making through data-driven products and tools.

GovernmentNewsPayments

Responsibilities

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

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

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

Qualification

PythonSQLData AnalyticsAI Proof-of-ConceptsDashboard DevelopmentAPIsStakeholder EngagementReproducible MethodsProject LeadershipCommunication Skills

Required

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

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

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

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