Role: Data Strategy and Analytics Lead (Data Architect)
Location: Remote
Key Responsibilities
- Data Strategy and Leadership:
o Help lead the development and execution of the state s data practice, focusing on clear and actionable strategies and aligning with organizational goals.
o Work closely with stakeholders to identify critical data needs and design solutions that address them.
o Identify opportunities to integrate machine learning, NLP, and AI-assisted analytics into government service improvement initiatives.
o Mentor and guide non-technical teams to build their confidence and capability in using data for decision-making.
- Analysis and Measurement:
o Collect, compare, and analyze complex data sets to identify trends, patterns, and actionable opportunities.
o Present findings in clear, visually engaging formats tailored to audiences with varying levels of data literacy.
o Create detailed reports, dashboards, and presentations that drive organizational improvements and adoption of insights.
o Lead development of statewide data maturity and impact measurement frameworks to assess progress in data-driven decision-making.
- Technical Maintenance and Expansion:
o Establish and maintain enterprise data architecture standards, including metadata management, data lineage, and interoperability across systems such as Salesforce, Sitecore, and Azure.
o 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.
o Develop and implement strategies to scale data systems as needs grow, ensuring performance and data integrity.
o Oversee ETL processes to integrate data from new sources and improve workflows.
- User Engagement and Enablement:
o Design and deliver training programs to help non-technical teams incorporate data and analysis into their regular workflows.
o Collaborate with teams to develop KPIs and frameworks for measuring the impact of data-driven initiatives.
o Facilitate workshops, office hours, and regular program updates to ensure alignment across teams.
- Cross-Functional Collaboration:
o Partner with leadership, IT teams, and other stakeholders to identify priorities and implement solutions.
o 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 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 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 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 at least 3 years of measurable experience in the following:
- 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
--
Asher Williams
Desk: 2o1.497.1o1o X:1o5 | Direct: 551.272.o129
asher (at) pullskill dot com
Never miss an opportunity! Create an alert based on the job you applied for.
