Head Of Data Science And Analytics Jobs

10+ years experience leading people and teams

10+ years experience in reporting and analytics

Demonstrated experience in building and managing high-performing teams of 10+ professionals

Exceptional communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders

Experience with digital analytics tools (Adobe Analytics, Google Analytics, etc.)

Lead the development and expansion of the analytics department, including hiring, training, and mentoring a team of analysts and data experts

10+ years of related experience in the industry,

You will work closely with the engineering team to test, validate, and implement M&V protocols within the WattCarbon platform.

You will present WattCarbon’s M&V methodologies to professional audiences in webinars, at conferences, and in other forums as needed.

You will meet individually with stakeholders on an as needed basis to explain WattCarbon’s M&V methodologies.

You will advocate for open source, transparent measurement and verification of carbon emissions and energy savings.

You will track, and where appropriate, engage with policy making at the local, state, and federal level.

Bachelor’s degree or higher in sports management, data science, data engineering, computer science or other related fields

2 to 3 years work experience in the NFL

Strong written and verbal communication skills in English

Translate data and analytics findings to Officiating and Replay executives

Measure and build reports summarizing key Officiating and Replay metrics

Disseminate weekly analytics reports related to Officiating and Replay

Engage in team discussions, brainstorming sessions, and knowledge-sharing activities.

Learn from experienced data scientists and analytics professionals.

Basic knowledge of statistical concepts and techniques.

Excellent communication skills, both written and verbal.

Assist in cleaning, organizing, and preprocessing large datasets for analysis.

Conduct exploratory data analysis to identify trends, patterns, and outliers.

Lead and manage a team of 10+ data scientists and managers partnering with Asana's business teams e.g. sales, marketing, customer success

Mental health, wellness & fitness benefits

In conjunction with your product data science counterpart, set norms, practices and processes for the broader data science team at Asana

Guide data scientists in their technical and professional development. Foster a culture of excellence, ensuring both quality and velocity

Empathetic, collaborative, no-ego approach to leadership

Comfortable with ambiguity; you enjoy figuring out what needs to be done — and then doing it

Leverage your expertise in data analytics and enterprise performance management to position our solutions effectively in the market.

Utilize your experience and knowledge of the Microsoft Data Analytics stack to drive sales and provide valuable insights to clients.

Solid track record in enterprise sales, cloud management, data analytics, and IT services

Strong understanding of data analytics, enterprise performance management, and the digital media measurement landscape.

Lead and manage a high-performing sales team, providing guidance, coaching, and support to achieve sales targets.

Develop and manage budgets, business plans, and financial forecasts to ensure revenue and profitability goals are met.

Bachelor’s degree (B.S./B.A.) in Computer Science, Mathematics, Engineering, Graduate degree in Data Science, or equivalent combination of education and experience

Plan, document, execute and manage the overall marketing analytics planning & framework

Must have at least 5 years hands-on experience performing advanced quantitative analyses and 3 years leading high performing teams

Experience mentoring and coaching direct reports in delivering high quality, accurate, and methodologically consistent advanced analytics results

Develop and supervise the enhancement of data models for statistical modeling purposes, tracking results against actuals, and re-specify when required

Propose solutions and strategies to business challenges

Education: Bachelor’s in Computer Science/Engineering or equivalent, Certifications in Product Management/Agile preferred

10+ years technology Leadership and Management experience, within a large international and geographically distributed organization with cultural diversity.

Expertise with data management and software engineering practices, architectures, tools/technologies and delivery management

Clinical expert: the ideal candidates should have demonstrable Clinical experience with the understanding of broader R&D and RWE.

Manage the relationships of program teams, stakeholders and vendors

Validate and manage resources, guarantees their availability, and arbitrate if needed, resources allocations

Strong leadership and team management skills with a demonstrated ability to drive team performance.

Lead and develop a high-performing analytics team responsible for data analysis, data management, and data governance.

Collaborate with key stakeholders across the organization to determine and develop user requirements for systems in production to ensure maximum usability.

Proven experience in developing and implementing data strategies and driving data-centric culture.

Exceptional verbal and written communication skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.

Any advanced certifications related to data science, analytics, or leadership would be highly advantageous.

Bachelor’s Degree/equivalent in business, finance, statistics, engineering or related quantitative discipline.

3+ years experience leading teams and experience coaching and developing analysts at all levels.

Proven approach for building and establishing a can do team culture.

Fluency in leveraging a data first approach to establish credibility and influence working with cross-functional leadership.

Exploring and harnessing data to define and solve true problems;

Removing barriers between data sets to create new avenues of insight;

5-7 years experience working in analytics with at least 1 year of formal or informal leadership experience.

Skilled in data wrangling & modeling (Python preferred), database querying (SQL), and use of cloud-based platforms (e.g., Snowflake, Sagemaker).

Ability to translate business problems into analytical frameworks and models.

Support the design of the future state of Pricing tools, data, and processes.

Create presentations that describe model results and recommendations to senior executives and other key stakeholders.

Sustain a structured method of gathering business feedback on data science output in order to drive continuous improvement

Strong leadership and people management skills, with the ability to mentor and develop a high-performing team.

Develop robust business cases and quantify the benefits and impact of these initiatives.

7+ years of experience in analytics, including product analytics and business intelligence.

Experience in product-focused analytics, measuring impact, and evaluating success metrics.

Excellent communication skills with the ability to translate complex findings into clear and actionable insights.

Professional certifications in analytics or related fields are advantageous.

Bachelor's, Master's, PhD or equivalent experience. Mathematics, Scientific, Statistics or Technical degree preferred.

Experience with visualization /business intelligence tools such as Tableau and Power BI and is able to create complex calculations using advanced features.

Experience in statistical/predictive modeling, computational systems, and operation research and optimization techniques

Strong SQL skills, is able to fetch, manipulate and automate big data manipulation tasks

Experience in Programming Language ( R, Python o r Scala) , and Excel experie nce is r equired

Experience with digital analytics tools i.e. Adobe Analytics, and experience with BI tools i.e. Tableau, Power BI

Strong attention to detail as well as effective time management abilities

Skills: Head of data analytics

Knowledge of Artificial Intelligence /Machine learning

Strong Governance experience, guardrails etc, help drive development of these efforts by themselves.

Outstanding communication, interpersonal and presentation skills, with specific strengths in communicating with senior leaders

Duration: 24 months+ contract , can go longer

ADDITIONAL QUALIFICATIONS (JOB SKILLS, ABILITIES, KNOWLEDGE)

Working experience in a dynamic and agile environment requiring high-adaptability, management of multiple projects, excellent cross-functional communication, and presentation skills

BASIC AND PREFERRED QUALIFICATIONS (EDUCATION And/or EXPERIENCE)

Experience executing as part of large finance, enterprise and/or data architecture transformation programs

Essential Job Duties And Responsibilities

Understanding of the functionality of finance systems, such as General Ledgers, Sub-Ledgers, Hyperion, Finance Data Warehouse/Repositories, and other related applications;

Excellent leadership skills, including the ability to manage a team of scientists and to lead cross-functional teams.

Knowledge of regulatory requirements for biologics discovery and development, including FDA and EMA guidelines.

Understanding of the business aspects of biologics discovery, including budgeting, forecasting, and project management will be required in this leadership role

Have significant managerial responsibility to foster team-centric culture and further refine departmental infrastructure.

Outstanding expertise and depth of knowledge in biologics drug discovery workflow from early discovery to IND.

Strong communication skills, including the ability to communicate scientific findings clearly and effectively to both technical and non-technical audiences.

Lead the development and implementation of data collection, storage, and analysis processes, leveraging the latest technologies and tools

Establish key performance indicators (KPIs) and metrics for measuring data quality, performance, and impact, and track progress against these targets

Partner with cross-functional teams to identify and prioritize data-driven opportunities and initiatives that will drive business growth and profitability

Stay up-to-date with the latest developments in data analytics and

Vice President of Data and Analytics

10+ years of data analytics experience with a proven history of capturing and analyzing data and building dashboards

Hands on experience with SQL, databases, and data visualization tools

Passionate about making an impact, solving complex problems, and working cross-functionally;Intellectual curiosity

Location: Boston & surrounding areas (3 days in office)

The Head of Data Analytics has/is:

Effectively track and measure all data.

Apply intermediate-level mathematical concepts and data management principles

Interpret, communicate, and present results to all levels of management in consistent and easy-to-understand formats to facilitate fact-based decision-making

Demonstrate a broad understanding of health insurance terms and concepts, along with general healthcare industry knowledge

Create, modify, maintain, and enhance existing programming or business processes associated with specific responsibilities.

Complete projects within preset timelines and report status to supervisor and project manager

Eleven (11) paid holidays, including a floating holiday you can use any time you wish

Must have: AI data science experience (min 5 years).

Experience in Vision AI, OpenCV, Dlib, Yolo

Experience in optimizing neural networks, such as pruning, etc.

Comfortable with working remotely, at least partially

Bachelor’s degree in computer science or a related field; Master's Degree preferred

Demonstrated ability to achieve results while working in a cross-functional environment