Paramount Software Solutions, Inc
Data Architect / Data Strategy & Analytics Remote
Paramount Software Solutions, Inc, Hartford, Connecticut, us, 06112
Job Id:
Data Strategy and Analytics Lead
Title:
Data Architect Location:
Remote- Hartford, CT 06103 Duration:
12 Months
Client:
State of CT – DAS
Position Summary About the Role 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.
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
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 solutions
Utilizing predictive analysis, gap analysis, quantitative reporting, user research, and statistical analysis
Providing insights and recommendations based on data
Bridging the data divide between technical, product, and customer‑facing teams
Developing and applying data models to improve the collection and analysis of data
Crafting compelling presentations and narratives from data findings. Emphasis on Power BI dashboards
Engaging in data experiments that provide cross‑persona or enterprise‑level analysis
Data cleansing, optimizing, and ETL
Developing and analyzing user surveys
Organizing and storing data and queries for easy access in future work projects
Documenting data collection and analysis procedures
Preparing and executing ROI analysis
Technical Expertise
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 practices
Administering analytics software and platforms (GA4, GTM, SPSS, Excel, Microsoft Office Suite)
Using business intelligence tools like Tableau or Power BI
Experience with all types of big data, both structured and unstructured
Data collection from on‑prem and cloud platforms like Microsoft, Azure, and Salesforce
Leveraging statistical analysis and algebra
Leveraging economics, business/systems analysis, and quality assurance
Manipulating large, complex data sets
Documenting data processes and configurations
Strategy, Communications, and Governance
Must have led a data function, practice, or vertical – not just participated in one
Experience presenting analytical insights and data strategies directly to leadership
Developing a data practice that incorporates strategy, training, tool development, and support
Communication and collaboration with cross‑functional teams and government partners
Crafting compelling presentations and narratives from data findings
Explaining data analysis to stakeholders with varying levels of data comprehension
Using data to help internal teams improve capabilities and operations
Training non‑technical teams on data analysis and its real‑world application
Performing competitor research to help improve products and services
Researching latest market trends and implementing knowledge
Organizing focus groups and feedback loops to establish data collection
Establishing and integrating appropriate KPIs to help track success
Improving research or data management environments
Establishing standardized testing of products/services using data
Ability to juggle multiple project workstreams
Ability to maintain strict confidentiality
Judgment in dealing effectively and diplomatically with all levels of government staff
Other Preferred Skills & Qualifications
Deep domain knowledge for a particular industry – especially Health, Business, or Education
Experience working in a large enterprise or public‑sector environment, including navigating complex governance and multi‑stakeholder structures
Experience with first party, behavioral, and CRM‑related metrics platforms
Bachelor’s degree in computer science, business, IT, management, administration, economics, or information science
Experience with machine learning, AI, and cognitive service engine models
Demonstrated 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 platforms
2 years of user research and feedback analysis
2 years of data governance and working within data security groups
1 year of API development
1 year of marketing experience, supported through metrics
1 year of project management experience
1 year of experience with customer relationship management platforms such as Salesforce
1 year of experience with web content management platforms such as Sitecore
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Data Strategy and Analytics Lead
Title:
Data Architect Location:
Remote- Hartford, CT 06103 Duration:
12 Months
Client:
State of CT – DAS
Position Summary About the Role 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.
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
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 solutions
Utilizing predictive analysis, gap analysis, quantitative reporting, user research, and statistical analysis
Providing insights and recommendations based on data
Bridging the data divide between technical, product, and customer‑facing teams
Developing and applying data models to improve the collection and analysis of data
Crafting compelling presentations and narratives from data findings. Emphasis on Power BI dashboards
Engaging in data experiments that provide cross‑persona or enterprise‑level analysis
Data cleansing, optimizing, and ETL
Developing and analyzing user surveys
Organizing and storing data and queries for easy access in future work projects
Documenting data collection and analysis procedures
Preparing and executing ROI analysis
Technical Expertise
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 practices
Administering analytics software and platforms (GA4, GTM, SPSS, Excel, Microsoft Office Suite)
Using business intelligence tools like Tableau or Power BI
Experience with all types of big data, both structured and unstructured
Data collection from on‑prem and cloud platforms like Microsoft, Azure, and Salesforce
Leveraging statistical analysis and algebra
Leveraging economics, business/systems analysis, and quality assurance
Manipulating large, complex data sets
Documenting data processes and configurations
Strategy, Communications, and Governance
Must have led a data function, practice, or vertical – not just participated in one
Experience presenting analytical insights and data strategies directly to leadership
Developing a data practice that incorporates strategy, training, tool development, and support
Communication and collaboration with cross‑functional teams and government partners
Crafting compelling presentations and narratives from data findings
Explaining data analysis to stakeholders with varying levels of data comprehension
Using data to help internal teams improve capabilities and operations
Training non‑technical teams on data analysis and its real‑world application
Performing competitor research to help improve products and services
Researching latest market trends and implementing knowledge
Organizing focus groups and feedback loops to establish data collection
Establishing and integrating appropriate KPIs to help track success
Improving research or data management environments
Establishing standardized testing of products/services using data
Ability to juggle multiple project workstreams
Ability to maintain strict confidentiality
Judgment in dealing effectively and diplomatically with all levels of government staff
Other Preferred Skills & Qualifications
Deep domain knowledge for a particular industry – especially Health, Business, or Education
Experience working in a large enterprise or public‑sector environment, including navigating complex governance and multi‑stakeholder structures
Experience with first party, behavioral, and CRM‑related metrics platforms
Bachelor’s degree in computer science, business, IT, management, administration, economics, or information science
Experience with machine learning, AI, and cognitive service engine models
Demonstrated 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 platforms
2 years of user research and feedback analysis
2 years of data governance and working within data security groups
1 year of API development
1 year of marketing experience, supported through metrics
1 year of project management experience
1 year of experience with customer relationship management platforms such as Salesforce
1 year of experience with web content management platforms such as Sitecore
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