About This Role
Bounteous x Accolite makes the future faster for the world's most ambitious brands. Our services span Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. We are guided by Co-Innovation, our proven methodology of collaborative partnership.
Bounteous x Accolite brings together 5000+ employees spanning North America, APAC, and EMEA, and partnerships with leading technology providers. Through advanced digital engineering, technology solutions, and data-driven digital experiences, we create exceptional and efficient business impact and help our clients win.
Bounteous is looking for an experiencedDirector of Data Strategy to join our Data & Analytics practice. This role involves embracing and evangelizing new marketing, data, and analytics technologies in addition to driving initiatives to improve the competency of the Data & Analytics practice, generating ideas and processes to deliver successful project solutions, maintaining a focus on learning and professional growth, leading strategic cross-competency accounts, and providing partnership to client service and business development teams to expand account opportunities.
The Director of Data Strategy will be responsible for the strategic development of digital marketing data ecosystems, and will design robust data warehousing & reporting solutions to meet client business objectives. Within client programs, they will lead cross-functional data teams through execution and delivery of such solutions, overseeing a global team of data engineers and BI developers. They will partner with account leadership, and interface with Product, Technology and Marketing practices.
The Director of Data Strategy reports to the VP of Advanced Analytics to help build a service offering for Customer Data Warehousing & Reporting, from go-to-market strategy through delivery and execution. This person will lead the way through direct contributions on larger accounts, as well as evolving the skillsets across the team to scale the capability. As a leader in Data & Analytics, this role will also be involved in pitches, estimates, and SOWs for related projects.
Role and Responsibilities
- Leads cross-functional engagements and ensures cohesive delivery across competencies
- Conducts data strategy programming, including assessing data signals, KPI setting, ecosystem and readiness assessments, co-innovation studio sessions, roadmapping deliverables, and value creation cycles
- Assesses client data maturity, understands stakeholder needs, facilitates prioritization, and coordinates a strategic data and agile roadmap of program activities
- Designs marketing data warehouses, ingesting data from web analytics, CRM, and media platforms, using appropriate cloud infrastructure for automation, and oversee technical team in execution
- Designs reporting suites for marketing data stakeholders, collecting requirements, creating functional wireframes, and tracking change requests, using interactive techniques to collaborate with clients
- Provides perspective on necessary data advancement recommendations, including business intelligence and statistical analysis, machine learning and AI, and other data activities to support business outcomes
- Uses the results of analysis to communicate program success and persuade account and client stakeholders for expansion and investment, including opportunities for accelerator engagements
- Maintains subject matter expertise as platforms evolve, including leading development of playbooks and documentation for scaling solutions
- Collaborates with internal marketing team on strategic collateral, collaborative case studies, and other marketing materials
- Works with CSEs and BD team to support pitches for new business or additional follow-on work for clients
- Maintains billable utilization while uncovering additional project opportunities
Preferred Qualifications
- 6+ years of relevant work experience in digital, consulting, or analytics
- Breadth of experience across cloud technologies (Snowflake, GCP, AWS, Azure) with the ability to speak to their capabilities as they relate to customer, digital, and operational data and digital analytics
- Functional expertise with data warehousing in Snowflake and Google Cloud Platform
- Functional expertise with BI platforms like Tableau, Power BI, and Looker Studio
- Experience incorporating digital marketing data (CRM, paid media, social, etc) into solution design, using various methods of extraction
- Knowledge and familiarity with digital analytics platforms (Adobe Analytics, Google Analytics) preferred
- Industry knowledge of the advanced analytics landscape
- Understanding of data governance, compliance, and privacy issues
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Research shows that women and other underrepresented groups apply only if they meet 100% of the criteria of a job posting. If you have passion and intelligence, and possess a technical knack (even if you’re missing some of the above), we encourage you to apply.
Bounteous x Accolite is focused on promoting an inclusive environment and is proud to be an equal opportunity employer. We celebrate the different viewpoints and experiences our diverse group of team members bring to Bounteous x Accolite. Bounteous x Accolite does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.
In addition, you have the opportunity to participate in several Team Member Networks, sometimes referred to as employee resource groups (ERGs), that host space with individuals with shared identities, interests, and passions. Our Team Member Networks celebrate communities of color, life as a working parent or caregiver, the 2SLGBTQIA+ community, wellbeing, and more. Regardless of your respective identity, there are various avenues we involve team members in the Bounteous x Accolite community.
Bounteous x Accolite is willing to sponsor eligible candidates for employment visas.
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Salary Range
- Minimum$157,000
- Maximum$210,000
- CurrencyUSD
- IntervalAnnually
Individual pay is determined by many factors, including experience, relevant education or training, and organizational needs. The mid-range to maximum of the salary range is generally reserved for individuals who are highly experienced in the role.