Role Overview:
Lead an analytics delivery function and build a proactive partnership with business, clinical and operations stakeholders. Translate ambiguous business questions into useful metrics, dashboards, analytical products and decisions, while managing people, priorities and delivery quality.
About Teqfocus:
Teqfocus is a Data and AI company that helps enterprises build and scale the Agentic Enterprise - connecting the data foundation, the intelligence layer, and the applications teams run their businesses on into a single, coherent architecture.
As a Salesforce Summit Partner, we work in Healthcare, Life Sciences, Financial Services, Insurance, and Hi-Tech - industries where getting AI right matters and the tolerance for failure is low. Our delivery model is senior-heavy by design. The same team that scopes an engagement ships it to production. There are no junior shadow teams, no sub-contractors brought in when the problem gets hard, and no hand-off to a separate managed services vendor when the project closes.
We run an internal innovation practice that builds the reusable patterns, pre-tested architectures, and industry-specific frameworks that give every Teqfocus client a head start - and give every Teqfocus practitioner work that compounds over time.
We are a diverse, immigrant-entrepreneurial company. We were built on the conviction that the best outcomes come from people who take genuine ownership of what they build - and are trusted to do so.
www.teqfocus.com
Key Responsibilities:
Business Partnership & Analytics Strategy
- Build and manage an analytics demand pipeline through proactive engagement with operational, business and clinical leaders.
- Identify decision-making needs, define KPI frameworks and prioritize analysis based on business value and adoption.
- Shift reporting from reactive request fulfillment to scalable, forward-looking insights and measurable outcomes.
Delivery & Technical Leadership
- Lead analytics planning, resource allocation, delivery commitments, quality reviews, stakeholder escalations and team development.
- Review and contribute hands-on to dashboards, visualizations, data storytelling and analytical or data-science solutions.
- Ensure analytics deliverables have clear definitions, dependable data sources, sound validation and strong usability.
Adoption & Improvement
- Present insights and recommendations to technical and nontechnical stakeholders.
- Drive adoption, document business impact and iterate products using user feedback.
- Coach analysts and establish repeatable analytical practices, governance and collaboration across data teams.
Required Qualifications & Skills:
- Substantial experience in analytics, business intelligence, data-driven decision support or related leadership roles; 8–10+ years is a recruitment guideline to be validated.
- Proven experience managing an analytics team and owning a business-facing analytics delivery portfolio.
- Strong dashboarding, data visualization, KPI development and data storytelling capabilities.
- Ability to frame ambiguous business problems as analytical questions, actionable findings and measurable outcomes.
- Experience reviewing analytical and data science solutions and translating technical work into executive-facing insights.
- Excellent prioritization, stakeholder engagement, coaching and communication skills.
Preferred Qualifications:
- Healthcare, clinical operations or care-delivery analytics experience.
- Hands-on experience with enterprise BI platforms, SQL and modern data platforms.
