Dave Holmes-Kinsella Email & Phone Number

San Francisco, Ca, Us

Driving growth in the Banking & FinTech community through actionable analytics leading to meaningful business improvement

San Francisco, Ca, Us

Synctera is a banking & payments platform enabling companies to build and scale financial products.ACCOMPLISHMENTS - Built to-the-penny reconciliation tools, tracking over $100BB in ledger activity. (Vendor Case Study - Analytics Self Service)- Achieved 267% customer signup growth for analytics products in 2023.- Improved Payment Operations team productivity 6x- Built tooling to drive auditor-response timeframes from multiple weeks to 3 daysRESPONSIBILITIESStrategy & Leadership:- Defined and executed analytics & data strategy, roadmap, and go-to-market plans- Led team recruiting, development, and coaching initiatives- Established and maintained data governance & security practices- Managed product development plan, developed and ran an internal customer council to streamline feature prioritizationProduct Development:- Created two market-leading products: Synctera Insights and Synctera Secure File Delivery, establishing the cornerstones of our customer analytics and self-service data integration strategy- Developed prototypes/MVPs for key analytics products and internal services- Integrated analytics platform internally and externally- Led product evangelization and customer discovery initiatives, driving outcomes that resulted in highly engaged and delighted customersTechnical Leadership:- Designed and implemented analytics stack, including tooling selection and vendor management- Set development standards & practices- Enhanced team effectiveness by researching, trialing and implementing new toolsets and industry best practices, leading to improved productivity, team satisfaction, and code quality- Led cross-functional technical design, review & coaching practices to improve data design & quality throughout our engineering codebase

I helped companies solve critical information challenges and mentored the next generation of leaders. Specialized in translating complex data problems into clear, actionable solutions.PROJECTSDataCenter Provider: - Led process engineering, data design, and application development- Technologies: MS-SQL and associated toolsApp Developer:- Conducted database design, refactoring, and developed QA and forensic auditing tools- Technology: PostgreSQLNetwork Engineering Group:- Provided Product Management leadershipTelecommunications Real Estate & Equipment Provider Startup: - Developed an interactive web-based sales tool showcasing their portfolio- Technologies: Carto (GIS engine), MapBox (UI refinement), Auth0 (identity management), Mailgun (lead management)

San Francisco, California, Us

Afresh is an AI-powered company selling software to manage grocery store inventory. I joined as one of the first dozen employees.ACCOMPLISHMENTS- Led the development of BI dashboards, driving improved order recommendation compliance resulting in 80% reduction in stock-outs and 25% reduction in shrinkRESPONSIBILITIES- Retool the Data Science team, shifting focus to Data Engineering and Analytics to meet evolving business needs- Evaluate, recommend, and manage BI tools and dashboarding solutions- Train the Business Operations team in SQL and BI/Analytics, enhancing data literacy across the organization- Optimize & harden the ETL processes, coaching team members in advanced SQL patterns- Guide the specification and development of data-driven alerting systems

Situation: "Help us improve the quality of our data and decision making as we drive towards Zero Touch Operations"Analysis: We need a data warehouse. And an evolution in the culture of thinking about data aging. And I need to build trust with my customers and confidence in the journey.Actions: * Coach team in best (most performant, clear, reusable) use of SQL -- embed with the engineers; improve their work lives; disambiguate conversations about business rules; and prepare the team for best use of the data warehouse* Mentor team in key principles of data warehouse design * Advise on metrics and data gathering processes; build dashboards and pipelines to bootstrap initiatives and show the path forward * Develop and evangelize 5 phase product roadmap* Hire in an awesome guy who helped with the heavy lifting, was a pipeline-writing machine; and heavy influencer on his peers

Advise and help with matters data, data design and database. Among other things, I wrote a couple of cool pieces of code that I really ought to open-source:* drop-in server-based forensic auditing tool, that automatically captured data changes in targeted tables. PostgreSQL made it easy, but it was sweet and has great general applicability* a polymorphic key system for a custom NOSQL, JSON-based extension to our storage structures.

Slice provided consumer market research datasets using ML-based technologies to parse purchase data from end-user sales receipts. Rakuten acquired us in 2014.Responsible for transforming user data into actionable retail informatics & market research tools through visualization tools, machine learning, and analytics.ACCOMPLISHMENTS- Contributed to raising $23MM in funding from new and existing partners- Led the data transition process during the company's acquisition by Rakuten- Identified the strategic acquisition of VibrantData & led the team integration- Developed analytics that helped dozens of brand-name retailers and manufacturers gain insights into customer shopping behavior- Built a functional prototype for product recommendations, supporting a leading Search Engine provider- Won multiple internal hackathons, creating tools that democratized data access and significantly reduced time and costs for data analysis- Designed and built the first versions of many of the company's products and data exchange processesRESPONSIBILITIES- Built our first Retail Analytics products; share/size/trend- Prototyped CPG customer churn & propensity analytics - Developed and maintained data pipelines for delivering anonymized transaction data to financial sector customers- Conducted performance benchmarking for industry leaders against their competition in key market niches- Created Tableau-based dashboards for tracking early business indicators and supporting sales and marketing efforts- Served as the Subject Matter Expert (SME) for analysts, teaching them to write performant, correct, and extensible queries- Guided the development of software products built on the evolving data warehouse

Providing the world's most accurate database for the telecom industry. We bring transparency and efficiency to companies' decision making processes with our product, Tungsten. Our product allows Sales People to make good decisions and build strong business cases much more quickly, with higher degree of confidence in the market assumptions; while using far fewer internal technical resources than is the practice. This directly translates into more revenue, sooner, with better margins.* Our product is a database-in-the-cloud, with browser-based access to algorithms and analytical tools.* Our Community data makes your Private data more accurate. * Our algorithms and information let you make "Business Class Decisions with Business Class Tools". You shouldn't have to rely upon PathLoss and MapInfo to make every sales decision. The first 80% of an RFP response ought to be done simply and quickly. This is what we help with.

San Francisco, Ca, Us

Held a variety of director-level roles driving scale up, timetables down by improving the information processes and decision-making practices, using analytical observation to improve process performance and uncover market opportunitiesResponsible for the integrated systems and analytics organization - IT, OSS, Decision Support systems. In charge of the design and delivery of the company's analytical software which drives multi-million dollar investment decisions. I had charge over a team of developers who have built what was the industry's most comprehensive and accurate database of cell sites, towers and fiber routes. My analytical team was responsible for evaluating market opportunities; identifying the most efficient way to invest our capital and holding our customers responsible for executing correctly on the information at hand.Our mandate was to help our (internal) customers make the best use of the company's assets through informed, timely, conscious and effective decision-making.