Job ID : Data Strategy and Analytics Lead
Data Architect
Client : State of CT - DAS
Duration : 12+ Months
Location : 100% remote
About the Role
Specific Skills for this position :
- Experience with modern data stack technologies (e.g., Synapse, Databricks, Snowflake, Airflow, or equivalent orchestration tools).
NOTE : This is a hands-on senior contributor role requiring demonstrated leadership of data programs, initiatives, or teams. Junior candidates will not be considered.
The Data Strategy and Analytics Lead will be a key player in establishing a robust, scalable, and accessible data practice for the State of Connecticut. This role requires a unique combination of technical expertise, strong analytical skills, and a highly strategic mindset to drive awareness and adoption of data and analytics. This person will strategize, maintain, and expand on existing data structures including pipelines, databases, and dashboards, while also helping to build a sustainable data practice that drives government-wide optimization and ensures ethical use of data to benefit all residents.
You will guide teams in leveraging data to improve the end-to-end user journey, identify product and service challenges, and foster a culture where data is integrated into everyday operations. You will also ensure the integrity, uptime, and accessibility of data technology to support the state's initiatives.
You must have a deep understanding of data modelling, user research, data analysis, visualizations, and the strategic application of data to improve service delivery at every stage of the customer lifecycle. You will need to have a strong background in quantitative / qualitative data management, data research methodologies, data engineering, data analysis, business intelligence, and executive-level communication skills to be successful in this role. There will be a heavy emphasis on first party / transactional data as well as Google Analytics, Google Search Console, CMS platform, and other behavioral metric systems.
Note : This is a full stack data position. Candidates must have both hands-on technical experience and strategic leadership experience. Submissions for candidates with only one of these skillsets will not be considered.
Key Responsibilities
Data Strategy and Leadership :Help lead the development and execution of the state's data practice, focusing on clear and actionable strategies and aligning with organizational goals.
Work closely with stakeholders to identify critical data needs and design solutions that address them.Identify opportunities to integrate machine learning, NLP, and AI-assisted analytics into government service improvement initiatives.Mentor and guide non-technical teams to build their confidence and capability in using data for decision-making.Analysis and Measurement :Collect, compare, and analyze complex data sets to identify trends, patterns, and actionable opportunities.
Present findings in clear, visually engaging formats tailored to audiences with varying levels of data literacy.Create detailed reports, dashboards, and presentations that drive organizational improvements and adoption of insights.Lead development of statewide data maturity and impact measurement frameworks to assess progress in data-driven decision-making.Technical Maintenance and Expansion :Establish and maintain enterprise data architecture standards, including metadata management, data lineage, and interoperability across systems such as Salesforce, Sitecore, and Azure.
Maintain and optimize existing pipelines, databases, and dashboards while advancing the state's data innovation agenda. Design new ways to use data, AI, and analytics to modernize services and improve resident outcomes.Develop and implement strategies to scale data systems as needs grow, ensuring performance and data integrity.Oversee ETL processes to integrate data from new sources and improve workflows.User Engagement and Enablement :Design and deliver training programs to help non-technical teams incorporate data and analysis into their regular workflows.
Collaborate with teams to develop KPIs and frameworks for measuring the impact of data-driven initiatives.Facilitate workshops, office hours, and regular program updates to ensure alignment across teams.Cross-Functional Collaboration :Partner with leadership, IT teams, and other stakeholders to identify priorities and implement solutions.
Act as a liaison between technical teams and business stakeholders, ensuring alignment and understanding.Experience Required for This Role
Data Collection & Analysis at least 3 years of measurable experience in the following :
Analyzing user data and metrics to drive specific business goals. Emphasis on Google Analytics and other behavioral and analytical data.Using data to isolate complex problems and develop workable solutionsUtilizing predictive analysis, gap analysis, quantitative reporting, user research, and statistical analysisProviding insights and recommendations based on dataBridging the data divide between technical, product, and customer-facing teamsDeveloping and applying data models to improve the collection and analysis of dataCrafting compelling presentations and narratives from data findings. Emphasis on Power BI dashboardsEngaging in data experiments that provide cross-persona or enterprise-level analysisData cleansing, optimizing, and ETLDeveloping and analyzing user surveysOrganizing and storing data and queries for easy access in future work projectsDocumenting data collection and analysis proceduresPreparing and executing ROI analysisTechnical Expertise at least 3 years of measurable experience in the following :
Managing data pipelines, ETL processes, and databases (e.g., SQL, Power BI, Azure Data Lake)Proficiency in Python or R for data manipulation and analysis.Experience with modern data stack technologies (e.g., Synapse, Databricks, Snowflake, Airflow, or equivalent orchestration tools).Data modeling, data governance, and data quality best practicesAdministering analytics software and platforms (GA4, GTM, SPSS, Excel, Microsoft Office Suite)Using business intelligence tools like Tableau or Power BIExperience with all types of big data, both structured and unstructuredData collection from on-prem and cloud platforms like Microsoft, Azure, and SalesforceLeveraging statistical analysis and algebraLeveraging economics, business / systems analysis, and quality assuranceManipulating large, complex data setsDocumenting data processes and configurationsStrategy, Communications, and Governance at least 3 years of measurable experience in the following :
Must have led a data function, practice, or vertical - not just participated in oneExperience presenting analytical insights and data strategies directly to leadershipDeveloping a data practice that incorporates strategy, training, tool development, and supportCommunication and collaboration with cross-functional teams and government partnersCrafting compelling presentations and narratives from data findingsExplaining data analysis to stakeholders with varying levels of data comprehensionUsing data to help internal teams improve capabilities and operationsTraining non-technical teams on data analysis and its real-world applicationPerforming competitor research to help improve products and servicesResearching latest market trends and implementing knowledgeOrganizing focus groups and feedback loops to establish data collectionEstablishing and integrating appropriate KPIs to help track successImproving research or data management environmentsEstablishing standardized testing of products / services using dataAbility to juggle multiple project workstreamsAbility to maintain strict confidentialityJudgment in dealing effectively and diplomatically with all levels of government staffOther Preferred Skills & Qualifications
Deep domain knowledge for a particular industry especially Health, Business, or EducationExperience working in a large enterprise or public-sector environment, including navigating complex governance and multi-stakeholder structuresExperience with first party, behavioral, and CRM-related metrics platformsBachelor's degree in computer science, business, IT, management, administration, economics, or information scienceExperience with machine learning, AI, and cognitive service engine modelsDemonstrated understanding of data ethics, bias mitigation, accessibility, and equitable data use in public sector or civic analytics settings.2 years experience with Power BI or other data visualization platforms2 years of user research and feedback analysis2 years of data governance and working within data security groups1 year of API development1 year of marketing experience, supported through metrics1 year of project management experience1 year of experience with customer relationship management platforms such as Salesforce1 year of experience with web content management platforms such as Sitecore
